Triple
T29187105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandni Chowk (Lok Sabha constituency) |
E739897
|
entity |
| Predicate | isProminentSeatIn |
P19696
|
FINISHED |
| Object | Delhi |
—
|
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 | Statement: [Chandni Chowk (Lok Sabha constituency), isProminentSeatIn, Delhi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isProminentSeatIn Context triple: [Chandni Chowk (Lok Sabha constituency), isProminentSeatIn, Delhi]
-
A.
notableSeat
chosen
Indicates that an entity holds or is associated with a seat, position, or place that is considered notable or significant in some context.
-
B.
isAtLargeSeat
Indicates that an individual holds or occupies an at-large seat, representing a broad constituency rather than a specific district or sub-area.
-
C.
establishedAsSeatIn
Indicates that an entity was officially designated or recognized as the administrative or official seat of another entity at a particular time or within a specific context.
-
D.
hasSeatAt
Indicates that an entity occupies or holds a place, position, or membership within a specific group, body, or location.
-
E.
hasPrioritySeating
Indicates that one entity provides or designates reserved or preferential seating for another entity.
- 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, noon