Triple
T2486602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumbai Suburban district |
E55940
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Vile Parle |
E268097
|
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: Vile Parle | Statement: [Mumbai Suburban district, contains, Vile Parle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vile Parle Context triple: [Mumbai Suburban district, contains, Vile Parle]
-
A.
Vile Parle
chosen
Vile Parle is a suburban neighborhood in Mumbai, India, known for its residential areas, educational institutions, and proximity to the city’s domestic airport.
-
B.
Mhow
Mhow is a cantonment town in the Indore district of Madhya Pradesh, India, historically significant as a British-era military base and now known as Dr. Ambedkar Nagar.
-
C.
Thane
Thane is a major city in western India known for its numerous lakes and its proximity to Mumbai.
-
D.
Baramati
Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
-
E.
Vashi
Vashi is a major suburban railway station and commercial-residential hub in Navi Mumbai, India.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd17705488190b90b1aa66dd25972 |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17ba433481908eccda5c6c6246be |
completed | March 9, 2026, 6:55 p.m. |
Created at: March 6, 2026, 9:45 p.m.