Triple
T18138339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Administración de Parques Nacionales |
E434194
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | APN |
—
|
NE NERFINISHED |
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: APN | Statement: [Administración de Parques Nacionales, abbreviation, APN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: APN Context triple: [Administración de Parques Nacionales, abbreviation, APN]
-
A.
APN
chosen
APN is the acronym for Argentina’s National Parks Administration, the federal agency responsible for managing and protecting the country’s national parks and natural reserves.
-
B.
APPA
APPA is the abbreviation for the American Public Power Association, a national organization representing community-owned electric utilities in the United States.
-
C.
IN-AP
IN-AP is the ISO 3166-2 code representing the Indian state of Andhra Pradesh.
-
D.
APM
APM is a major U.S. public radio producer and distributor known for creating and syndicating nationally recognized programs and podcasts.
-
E.
APM
APM is a legacy disk partitioning scheme developed by Apple for organizing volumes on classic Mac OS and early macOS systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0993e88190b19c5cb35a6d252d |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.