Triple
T6715578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roland Garros Airport |
E153258
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
FMEE
FMEE is the ICAO airport code for Roland Garros Airport, the main international airport on Réunion Island in the Indian Ocean.
|
E613302
|
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: FMEE | Statement: [Roland Garros Airport, ICAOcode, FMEE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FMEE Context triple: [Roland Garros Airport, ICAOcode, FMEE]
-
A.
FMU
FMU is a public university in Florence, South Carolina, known for its liberal arts and professional programs.
-
B.
FMEP
FMEP is the ICAO airport code for Pierrefonds Airport on Réunion Island in the Indian Ocean.
-
C.
FMF
FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
-
D.
FMCC
FMCC is the stock ticker symbol for Freddie Mac, a U.S. government-sponsored enterprise that provides liquidity and stability to the residential mortgage market.
-
E.
FEEFA
FEEFA is a song featured on 6ix9ine’s 2018 studio album "Dummy Boy."
- 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: FMEE Triple: [Roland Garros Airport, ICAOcode, FMEE]
Generated description
FMEE is the ICAO airport code for Roland Garros Airport, the main international airport on Réunion Island in the Indian Ocean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FMEE Target entity description: FMEE is the ICAO airport code for Roland Garros Airport, the main international airport on Réunion Island in the Indian Ocean.
-
A.
FMU
FMU is a public university in Florence, South Carolina, known for its liberal arts and professional programs.
-
B.
FMEP
FMEP is the ICAO airport code for Pierrefonds Airport on Réunion Island in the Indian Ocean.
-
C.
FMF
FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
-
D.
FMCC
FMCC is the stock ticker symbol for Freddie Mac, a U.S. government-sponsored enterprise that provides liquidity and stability to the residential mortgage market.
-
E.
FEEFA
FEEFA is a song featured on 6ix9ine’s 2018 studio album "Dummy Boy."
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1246b748190aed94e8ab8625f7e |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70096e05c8190abfa90996db37eeb |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c701fa048c819091585d2bd4afe06a |
completed | March 27, 2026, 10:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7028710788190b054c7cfd28a6812 |
completed | March 27, 2026, 10:19 p.m. |
Created at: March 27, 2026, 2:07 p.m.