Triple
T13906381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligue de Football Professionnel |
E334362
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | LFP |
E705398
|
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: LFP | Statement: [Ligue de Football Professionnel, shortName, LFP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LFP Context triple: [Ligue de Football Professionnel, shortName, LFP]
-
A.
LFP
LFP is the commonly used abbreviation for Spain’s top professional football league organizer, La Liga (Liga Nacional de Fútbol Profesional).
-
B.
LFP
chosen
LFP is the French professional football league organization that oversees the top national divisions, including Ligue 1 and Ligue 2.
-
C.
LFPB
LFPB is the ICAO airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for business aviation and the Paris Air Show.
-
D.
LPFL
LPFL is the ICAO airport code for Flores Airport, which serves the island of Flores in Portugal’s Azores archipelago.
-
E.
LNFP
LNFP is the commonly used abbreviation for Spain’s top professional football league organizer, the Liga Nacional de Fútbol Profesional (La Liga).
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25dc26cc8190a7909980b1d34933 |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c724c6188190ae0c2784c3b48a12 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:16 p.m.