Triple
T18934724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noida Sector 76 |
E463211
|
entity |
| Predicate | adjacentStation |
P5707
|
FINISHED |
| Object | Noida Sector 101 |
—
|
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: Noida Sector 101 | Statement: [Noida Sector 76, adjacentStation, Noida Sector 101]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noida Sector 101 Context triple: [Noida Sector 76, adjacentStation, Noida Sector 101]
-
A.
Noida Sector 101
chosen
Noida Sector 101 is a metro station in Noida, Uttar Pradesh, India, serving residential and commercial areas along the Noida Metro’s Aqua Line.
-
B.
Noida Sector 51
Noida Sector 51 is a metro station in Noida, Uttar Pradesh, that serves as a key transit point on the Noida Metro network and an interchange hub with the Delhi Metro system.
-
C.
Noida Sector 50
Noida Sector 50 is a metro station on the Noida Metro Aqua Line serving the residential Sector 50 area of Noida, Uttar Pradesh, India.
-
D.
Noida Sector 71
Noida Sector 71 is a metro station on the Noida Metro Aqua Line in Uttar Pradesh, India, serving the surrounding residential and commercial sectors of the city.
-
E.
Noida Sector 52
Noida Sector 52 is a metro station in Noida, Uttar Pradesh, serving as a key stop on the Delhi Metro network and an important access point for nearby residential and commercial areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e6a8208190973669cae439a91e |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.