Triple
T1959757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal Aérea |
E42354
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
TAE
TAE is the station code for Terminal Aérea, a Mexico City Metro station serving passengers traveling to and from the city’s international airport.
|
E219289
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: TAE | Statement: [Terminal Aérea, hasStationCode, TAE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAE Context triple: [Terminal Aérea, hasStationCode, TAE]
-
A.
TAA
TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
-
B.
taegeuk
Taegeuk is the yin–yang-inspired symbol of harmonious cosmic balance that appears at the center of the South Korean flag and in various aspects of Korean philosophy and culture.
-
C.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
D.
TTA
TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
-
E.
TPA
TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TAE Triple: [Terminal Aérea, hasStationCode, TAE]
Generated description
TAE is the station code for Terminal Aérea, a Mexico City Metro station serving passengers traveling to and from the city’s international airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TAE Target entity description: TAE is the station code for Terminal Aérea, a Mexico City Metro station serving passengers traveling to and from the city’s international airport.
-
A.
TAA
TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
-
B.
taegeuk
Taegeuk is the yin–yang-inspired symbol of harmonious cosmic balance that appears at the center of the South Korean flag and in various aspects of Korean philosophy and culture.
-
C.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
D.
TTA
TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
-
E.
TPA
TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb37f737881908130bb828affcaa2 |
completed | March 7, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbcea048819091d705095f0d3f68 |
completed | March 8, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69adfc8efb0c81908bce5a4a13359801 |
completed | March 8, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfd8115d481909716e11b943cbf61 |
completed | March 8, 2026, 10:51 p.m. |
Created at: March 4, 2026, 7:36 p.m.