Triple
T27458697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BR-10 |
E692671
|
entity |
| Predicate | hasCodeNumberMeaning |
P145061
|
FINISHED |
| Object | 10 denotes Bhagalpur district within Bihar vehicle registration system |
—
|
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: 10 denotes Bhagalpur district within Bihar vehicle registration system | Statement: [BR-10, hasCodeNumberMeaning, 10 denotes Bhagalpur district within Bihar vehicle registration system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCodeNumberMeaning Context triple: [BR-10, hasCodeNumberMeaning, 10 denotes Bhagalpur district within Bihar vehicle registration system]
-
A.
codeNumberMeaning
chosen
Indicates that a specific code number is associated with and represents a particular meaning or interpretation.
-
B.
numericCode
Indicates that an entity is associated with a specific numerical identifier or classification code.
-
C.
hasCodeLetters
Indicates that an entity is associated with, or represented by, a specific sequence of letters used as its code or identifier.
-
D.
configurationCodeMeaning
Indicates the semantic meaning or interpretation associated with a given configuration code.
-
E.
hasIneCode
Indicates that an entity is associated with a specific INE (national statistics or education) code that identifies it in an official registry.
- 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_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
Created at: April 27, 2026, 12:49 p.m.