Triple
T27536254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatia railway station |
E695105
|
entity |
| Predicate | cityRailHubFor |
P111973
|
FINISHED |
| Object | Ranchi |
—
|
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: Ranchi | Statement: [Hatia railway station, cityRailHubFor, Ranchi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityRailHubFor Context triple: [Hatia railway station, cityRailHubFor, Ranchi]
-
A.
cityRailNetwork
Indicates that there exists a rail-based public transportation system operating within and serving the specified city.
-
B.
urbanRailHubFor
chosen
Indicates that a location functions as a central node or interchange point within an urban rail network for a given area or set of lines.
-
C.
cityRailStyle
Indicates that something follows or embodies the characteristic style, design, or operational pattern associated with a city rail system.
-
D.
railServicesTo
Indicates that rail transportation services operate from one location to another specified destination.
-
E.
subwayStation
Indicates that one entity is a subway station associated with, located in, or serving the other entity.
- 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_69ef538608b081908b9f659bb09d5e0f |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62f5a55ac8190877437ec33640bf0 |
completed | May 2, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69f623ac3a9c8190a6ee0c137b09e4b0 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 1:28 p.m.