Triple
T32896449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shahabad, Rampur |
E841486
|
entity |
| Predicate | hasAdministrativeDivisionName |
P78353
|
FINISHED |
| Object | Rampur district |
—
|
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: Rampur district | Statement: [Shahabad, Rampur, hasAdministrativeDivisionName, Rampur district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdministrativeDivisionName Context triple: [Shahabad, Rampur, hasAdministrativeDivisionName, Rampur district]
-
A.
isAdministrativeDivision
Indicates that one entity functions as an official administrative subdivision or jurisdiction within the governance structure of another entity.
-
B.
hasEponymousAdministrativeDivision
Indicates that an entity gives its name to an administrative division (such as a city, region, or district) that is named after it.
-
C.
administrativeName
Indicates the official name assigned to an entity within an administrative or governmental system.
-
D.
administrativeDivisionOfDemonym
Indicates that a term is the demonym (name for residents) associated with a particular administrative division (such as a state, province, or region).
-
E.
hasDivisionNames
chosen
Indicates that an entity is associated with one or more names of its internal divisions or subunits.
- 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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 1, 2026, 1:18 a.m.