Triple
T24272548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halisahar railway station |
E605319
|
entity |
| Predicate | mapDotLabel |
P13793
|
FINISHED |
| Object | Halisahar |
—
|
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: Halisahar | Statement: [Halisahar railway station, mapDotLabel, Halisahar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapDotLabel Context triple: [Halisahar railway station, mapDotLabel, Halisahar]
-
A.
mapLabel
chosen
Indicates that a label or name is assigned to a map or mapped entity for identification or display.
-
B.
mapSymbol
Indicates a correspondence where one symbol is used to represent, stand for, or denote another element within a mapping or representation system.
-
C.
mapCaption
Indicates that the value is a textual caption or label describing the associated map.
-
D.
mapsDepict
Indicates that maps visually represent or illustrate the geographic features, locations, or spatial relationships of something.
-
E.
mapNumber
Indicates a correspondence where each element in one set or collection is assigned a specific numeric value in another set or domain.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d5ae9848190a622807e30319682 |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.