Triple
T27859631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumbai Metropolitan Region |
E704187
|
entity |
| Predicate | containsITAndBusinessHub |
P9422
|
FINISHED |
| Object | Navi Mumbai |
—
|
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: Navi Mumbai | Statement: [Mumbai Metropolitan Region, containsITAndBusinessHub, Navi Mumbai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsITAndBusinessHub Context triple: [Mumbai Metropolitan Region, containsITAndBusinessHub, Navi Mumbai]
-
A.
hasBusinessSection
Indicates that an entity (such as a publication or website) includes a dedicated section focused on business-related content or topics.
-
B.
isITHubOf
Indicates that an entity serves as a central location or primary center for IT-related activities, services, or operations for another entity or area.
-
C.
hasBusinessCenter
Indicates that an entity includes, contains, or is equipped with a business center facility.
-
D.
isCommercialHubIn
chosen
Indicates that a place functions as a primary center of commercial or business activity within a specified larger area or region.
-
E.
hasITOperationsIn
Indicates that an entity conducts or maintains information technology (IT) operations within a specified location or organizational unit.
- 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_69ef840e614c8190a88cf9638c14a265 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: April 27, 2026, 6:16 p.m.