Triple
T14420477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FAP |
E357569
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | FAP |
unclear NED1
|
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: FAP | Statement: [FAP, acronym, FAP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAP Context triple: [FAP, acronym, FAP]
-
A.
FAP
FAP is the acronym for the Peruvian Air Force, the aerial warfare branch of Peru’s armed forces.
-
B.
FAP
FAP is the acronym for the Portuguese Air Force, the aerial warfare branch of Portugal’s Armed Forces.
-
C.
FAPS
FAPS is a professional honorific title signifying election as a Fellow of the American Physical Society in recognition of exceptional contributions to physics.
-
D.
FAS
FAS is the commonly used abbreviation for the Faculty of Applied Sciences, an academic division focused on practical and technical scientific disciplines.
-
E.
FAS
FAS is a component of the U.S. General Services Administration responsible for managing government-wide procurement of products and services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de910eb354819089d5d5a46919eb49 |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bcb131c8190935d9bacb1afc995 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.