Triple
T10722775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macaé |
E252862
|
entity |
| Predicate | airportIATA |
P418
|
FINISHED |
| Object |
MEA
MEA is the IATA airport code for Macaé Airport, a regional airport serving the city of Macaé in the state of Rio de Janeiro, Brazil.
|
E882213
|
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: MEA | Statement: [Macaé, airportIATA, MEA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MEA Context triple: [Macaé, airportIATA, MEA]
-
A.
MEA
MEA is the ICAO airline designator for Middle East Airlines, the flag carrier of Lebanon.
-
B.
MEA
MEA is India’s Ministry of External Affairs, the government body responsible for managing the country’s foreign relations and diplomacy.
-
C.
MER
MER is the former New York Stock Exchange ticker symbol for Merrill Lynch, the prominent U.S.-based investment bank and wealth management firm.
-
D.
ME
ME is the official two-letter United States Postal Service abbreviation for the state of Maine.
-
E.
ME
ME is the commonly used abbreviation for the University of Miskolc, a higher education institution in Miskolc, Hungary.
- 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: MEA Triple: [Macaé, airportIATA, MEA]
Generated description
MEA is the IATA airport code for Macaé Airport, a regional airport serving the city of Macaé in the state of Rio de Janeiro, Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MEA Target entity description: MEA is the IATA airport code for Macaé Airport, a regional airport serving the city of Macaé in the state of Rio de Janeiro, Brazil.
-
A.
MEA
MEA is the ICAO airline designator for Middle East Airlines, the flag carrier of Lebanon.
-
B.
MEA
MEA is India’s Ministry of External Affairs, the government body responsible for managing the country’s foreign relations and diplomacy.
-
C.
MER
MER is the former New York Stock Exchange ticker symbol for Merrill Lynch, the prominent U.S.-based investment bank and wealth management firm.
-
D.
ME
ME is the official two-letter United States Postal Service abbreviation for the state of Maine.
-
E.
ME
ME is the commonly used abbreviation for the University of Miskolc, a higher education institution in Miskolc, Hungary.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d44d0048190a78aae2357e864a5 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb738f8488190837a675b82ce75aa |
completed | April 12, 2026, 3:16 p.m. |
| NEDg | Description generation | batch_69dbbbe545748190b2bdbc3a75224eb0 |
completed | April 12, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbc59b315081909362892f5b989d25 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 8, 2026, 9:13 p.m.