Triple
T1455301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIA |
E31382
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | NIA |
E31382
|
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: NIA | Statement: [NIA, abbreviation, NIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NIA Context triple: [NIA, abbreviation, NIA]
-
A.
NIA
chosen
NIA is a U.S. federal research institute within the National Institutes of Health that focuses on understanding aging and age-related diseases, including Alzheimer’s disease.
-
B.
NI
NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
-
C.
NiRA
NiRA (Nigeria Internet Registration Association) is the organization responsible for managing and administering Nigeria’s country code top-level domain, .ng.
-
D.
NIP
NIP is the commonly used acronym for the U.S. National Intelligence Program, which funds and coordinates the nation’s primary intelligence activities across multiple agencies.
-
E.
NINR
NINR is a U.S. National Institutes of Health institute that supports and conducts research to improve health and healthcare through nursing science.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c581714881909bf4c2bad9645176 |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e746b64819091079ff26a60a12e |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 8 p.m.