Triple
T26408541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIST |
E663895
|
entity |
| Predicate | FIPSNumber |
P227
|
FINISHED |
| Object | 197 |
—
|
LITERAL 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: 197 | Statement: [NIST, FIPSNumber, 197]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FIPSNumber Context triple: [NIST, FIPSNumber, 197]
-
A.
FIPSClass
Indicates the classification of an entity according to the Federal Information Processing Standards (FIPS) coding or category system.
-
B.
FCINumber
Indicates a relationship where an entity is assigned or associated with a specific FCI (Facility/Financial/Foreign/other context-specific) identification number.
-
C.
FIBACode
Indicates a relationship where an entity is assigned or associated with a specific FIBA (International Basketball Federation) identification code.
-
D.
FIPSCode
chosen
Indicates the standardized Federal Information Processing Standards (FIPS) code assigned to identify a specific geographic or administrative entity.
-
E.
HSMNumber
Indicates that an entity is associated with a specific Hardware Security Module (HSM) identification number.
- F. None of above.
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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610faa77081908956b6e8b5b1570c |
completed | May 2, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:36 p.m.