Triple
T32453395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noida Sector 15 |
E829356
|
entity |
| Predicate | partOfMetroRegion |
P108274
|
FINISHED |
| Object | Delhi NCR |
—
|
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: Delhi NCR | Statement: [Noida Sector 15, partOfMetroRegion, Delhi NCR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfMetroRegion Context triple: [Noida Sector 15, partOfMetroRegion, Delhi NCR]
-
A.
partOfMetropolitanArea
Indicates that one place is included within and belongs to the larger metropolitan area of another place.
-
B.
belongsToMetropolitanRegion
chosen
Indicates that one geographic or administrative area is part of, or included within, a larger metropolitan region.
-
C.
regionOfCity
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
-
D.
terminalCityRegion
Indicates that a city serves as the terminal (end-point) location within a specified region for a route, line, or connection.
-
E.
adjacentMetropolitanArea
Indicates that one metropolitan area is directly next to or borders another metropolitan area geographically.
- 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ffacdf9f5c8190baef0245edfe87fc |
completed | May 9, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69ffac5e86e08190a1e6da0840a237ad |
completed | May 9, 2026, 9:51 p.m. |
Created at: May 1, 2026, 12:56 a.m.