Triple
T25825672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Habibganj railway station |
E650522
|
entity |
| Predicate | redevelopmentModel |
P159528
|
FINISHED |
| Object | public–private partnership |
—
|
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: public–private partnership | Statement: [Habibganj railway station, redevelopmentModel, public–private partnership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: redevelopmentModel Context triple: [Habibganj railway station, redevelopmentModel, public–private partnership]
-
A.
redevelopmentFor
Indicates a relationship where one entity is intended, designated, or used for the redevelopment of another entity.
-
B.
redevelopmentConcept
Indicates a conceptual or planned transformation of an existing entity, typically involving its redesign, renewal, or repurposing.
-
C.
redevelopmentProject
Indicates a project involving the renewal, improvement, or transformation of an existing area, structure, or infrastructure, typically replacing or upgrading what was previously there.
-
D.
redevelopmentFrom
Indicates that one entity is created or transformed as a result of redeveloping or repurposing another pre-existing entity.
-
E.
redevelopmentTo
Indicates a transformation relationship where one entity is redeveloped, converted, or repurposed into another entity.
- 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6019443b48190bb7e5da78c18d3cf |
completed | May 2, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 7:36 a.m.