Triple
T3155630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air France-KLM |
E65978
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | AF |
E93835
|
NE FINISHED |
How this triple was built (2 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: AF | Statement: [Air France-KLM, tickerSymbol, AF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AF Context triple: [Air France-KLM, tickerSymbol, AF]
-
A.
AF
AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
-
B.
AF
chosen
AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
-
C.
FA
FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
-
D.
FA
FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
-
E.
ADF
ADF is the abbreviation for the Australian Defence Force, the unified military organization responsible for defending Australia and its national interests.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5e97548819084643586fff2e3cb |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b225068444819080e2b8b6b1260613 |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.