Triple
T6614561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liga Nacional de Fútbol Profesional |
E149316
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | LFP |
E601033
|
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: [Liga Nacional de Fútbol Profesional, abbreviation, LFP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LFP Context triple: [Liga Nacional de Fútbol Profesional, abbreviation, LFP]
-
A.
LFP
chosen
LFP is the commonly used abbreviation for Spain’s top professional football league organizer, La Liga (Liga Nacional de Fútbol Profesional).
-
B.
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.
-
C.
LNFP
LNFP is the commonly used abbreviation for Spain’s top professional football league organizer, the Liga Nacional de Fútbol Profesional (La Liga).
-
D.
LF
LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
-
E.
LAP
LAP is the ICAO airline designator used to identify LATAM Airlines Paraguay in international aviation operations.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af569ecc8190a9526decc745f0a0 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e443df8c8190b52ecac5a7e9fb09 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:57 p.m.