Triple
T5677844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NPA |
E125129
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | NPA |
E125129
|
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: NPA | Statement: [NPA, abbreviation, NPA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NPA Context triple: [NPA, abbreviation, NPA]
-
A.
NPA
chosen
NPA is the central national law enforcement body of Japan responsible for overseeing police operations and public security across the country.
-
B.
NAP
NAP is the publishing arm of the U.S. National Academies that produces and disseminates authoritative reports on science, engineering, and medicine.
-
C.
NAP
NAP is the IATA airport code for Naples International Airport, the main air gateway serving the city of Naples in southern Italy.
-
D.
NAPANT
NAPANT is the Slovak national park protecting the Low Tatras mountain range, known for its extensive forests, karst formations, and popular hiking and skiing areas.
-
E.
.np
.np is the country code top-level domain (ccTLD) assigned to Nepal for use in internet addresses.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0239437108190ad6a5a14636b4597 |
completed | March 22, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04dbbbe9081908d1915b898722c18 |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 3:43 p.m.