Triple
T37116845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSMT–Panvel branch |
E919139
|
entity |
| Predicate | connectsUrbanCoreTo |
P201159
|
FINISHED |
| Object | satellite city of Panvel |
—
|
LITERAL 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: satellite city of Panvel | Statement: [CSMT–Panvel branch, connectsUrbanCoreTo, satellite city of Panvel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsUrbanCoreTo Context triple: [CSMT–Panvel branch, connectsUrbanCoreTo, satellite city of Panvel]
-
A.
isUrbanCore
Indicates that a place or area functions as the central, densely developed, and most intensively used part of an urban region.
-
B.
hasUrbanConcept
Indicates that an entity is associated with, characterized by, or incorporates an urban-related concept, idea, or design principle.
-
C.
isUrbanHubFor
Indicates that a location functions as a central urban focal point or primary service center for another area or population.
-
D.
urbanCoreCity
Indicates that a city functions as the primary urban core or central city within a larger metropolitan or urban area.
-
E.
hasUrbanFabric
Indicates that one entity possesses, contains, or is characterized by a particular pattern or structure of built-up urban development.
- F. None of above. chosen
Provenance (4 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_69f76e9c57148190ba789dd059645bb9 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffcc6182b48190afb598ced6500e66 |
completed | May 10, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69ffcbb363748190bc6f8d038fba44ff |
completed | May 10, 2026, 12:05 a.m. |
| PDg | Predicate description generation | batch_69ffcc60dae48190b76b3eb7e2ce5103 |
completed | May 10, 2026, 12:08 a.m. |
Created at: May 3, 2026, 4:15 p.m.