Triple
T9409039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tasqueña |
E226659
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
TAQ
TAQ is the station code for Tasqueña, a major terminal station on Mexico City’s Metro system.
|
E797326
|
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: TAQ | Statement: [Tasqueña, hasStationCode, TAQ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAQ Context triple: [Tasqueña, hasStationCode, TAQ]
-
A.
ATQ
ATQ is the IATA airport code for Sri Guru Ram Dass Jee International Airport serving Amritsar, India.
-
B.
QTA
QTA is the official railway station code for Quetta Railway Station in Pakistan’s railway network.
-
C.
TAD
TAD is the OECD’s Trade and Agriculture Directorate, which develops international policies and analysis on global trade, agriculture, and related economic issues.
-
D.
TAD
TAD is an acronym commonly used to refer to a Tax Allocation District, a designated area where future tax revenues are used to finance redevelopment and public improvements.
-
E.
TQG
"TQG" is a 2023 reggaeton-pop collaboration between Shakira and Karol G known for its themes of empowerment and post-breakup resilience.
- 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: TAQ Triple: [Tasqueña, hasStationCode, TAQ]
Generated description
TAQ is the station code for Tasqueña, a major terminal station on Mexico City’s Metro system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TAQ Target entity description: TAQ is the station code for Tasqueña, a major terminal station on Mexico City’s Metro system.
-
A.
ATQ
ATQ is the IATA airport code for Sri Guru Ram Dass Jee International Airport serving Amritsar, India.
-
B.
QTA
QTA is the official railway station code for Quetta Railway Station in Pakistan’s railway network.
-
C.
TAD
TAD is the OECD’s Trade and Agriculture Directorate, which develops international policies and analysis on global trade, agriculture, and related economic issues.
-
D.
TAD
TAD is an acronym commonly used to refer to a Tax Allocation District, a designated area where future tax revenues are used to finance redevelopment and public improvements.
-
E.
TQG
"TQG" is a 2023 reggaeton-pop collaboration between Shakira and Karol G known for its themes of empowerment and post-breakup resilience.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd52547f0c81908ed4f53b9f05ebaa |
completed | April 1, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107a5fcc081909a2d743e9673fe9e |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d1082f41b48190b8588bb986028f59 |
completed | April 4, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108be82888190b0ec08119cd00b68 |
completed | April 4, 2026, 12:49 p.m. |
Created at: March 30, 2026, 7:47 p.m.