Triple
T14225020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navi Mumbai |
E352594
|
entity |
| Predicate | hasResidentialZone |
P9064
|
FINISHED |
| Object | Turbhe |
E919778
|
NE 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: Turbhe | Statement: [Navi Mumbai, hasResidentialZone, Turbhe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turbhe Context triple: [Navi Mumbai, hasResidentialZone, Turbhe]
-
A.
Turbhe
chosen
Turbhe is a suburban locality in Navi Mumbai, India, known for its railway station that serves as an important stop on the Mumbai suburban network.
-
B.
Shakardara
Shakardara is a town and administrative settlement in Pakistan’s Khyber Pakhtunkhwa province, known for its role within the Kohat region.
-
C.
Shahdara
Shahdara is a densely populated residential and commercial locality in East Delhi, India, known as one of the city’s oldest suburbs and a key transport hub.
-
D.
Shahdara
Shahdara is a locality on the northern outskirts of Lahore, Pakistan, serving as a major transport hub and gateway into the city.
-
E.
Shingora
Shingora is a film featuring Indian actress and model Persis Khambatta, known for her distinctive screen presence and international appeal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6228e53c8190abbe4e2d88a7362a |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281611b48190b787e38ba9c733a4 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:06 a.m.