Triple
T25452872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sealdah–Hasnabad railway line |
E637833
|
entity |
| Predicate | cityCluster |
P158535
|
FINISHED |
| Object | Kolkata metropolitan area |
—
|
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: Kolkata metropolitan area | Statement: [Sealdah–Hasnabad railway line, cityCluster, Kolkata metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityCluster Context triple: [Sealdah–Hasnabad railway line, cityCluster, Kolkata metropolitan area]
-
A.
arealCluster
Indicates that entities belong to the same spatially contiguous or closely grouped geographic area.
-
B.
countryCluster
Indicates that multiple countries are grouped together based on shared characteristics, relationships, or classification criteria.
-
C.
hostCityCluster
Indicates that a city serves as a central or primary host location within a defined group or cluster of related events, activities, or entities.
-
D.
supportsCityCluster
Indicates that one entity provides the necessary resources, infrastructure, or services for a specific city cluster to function or develop.
-
E.
cityDistrictLevel
Indicates that one administrative unit is a district-level subdivision within a given city in the territorial hierarchy.
- 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_69e75db7c5048190b8da9cd7eeedb610 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f70885cc81909f1574406d67c682 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 2:03 p.m.