Triple
T17959437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alipore |
E449035
|
entity |
| Predicate | citySubdivisionType |
P31781
|
FINISHED |
| Object | borough |
—
|
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: borough | Statement: [Alipore, citySubdivisionType, borough]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citySubdivisionType Context triple: [Alipore, citySubdivisionType, borough]
-
A.
citySubdivision
Indicates that one administrative or geographic unit is a smaller subdivision contained within a larger city.
-
B.
cityDistrictType
chosen
Indicates the type or classification of a city district within an urban or administrative structure.
-
C.
urbanDistrictType
Indicates the classification of an urban district according to its specific type or category within an administrative or planning system.
-
D.
countrySubdivisionType
Indicates the specific type or category of an administrative or territorial subdivision within a country (e.g., state, province, region).
-
E.
realmSubdivision
Indicates a hierarchical relationship where one realm is a constituent subdivision or part of a larger realm.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b130b7a081908542a3bc6dab5842 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.