Triple
T15434741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwalior Light Railway |
E369729
|
entity |
| Predicate | hasHistoricalInfrastructure |
P86463
|
FINISHED |
| Object | old stations |
—
|
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: old stations | Statement: [Gwalior Light Railway, hasHistoricalInfrastructure, old stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalInfrastructure Context triple: [Gwalior Light Railway, hasHistoricalInfrastructure, old stations]
-
A.
hasInfrastructureHistory
Indicates that there exists a record or account of past changes, developments, or states of infrastructure associated with an entity.
-
B.
hasColonialInfrastructure
Indicates that one entity possesses or is characterized by infrastructure established or developed during a period of colonial rule by another entity.
-
C.
hasHistoricFeatures
chosen
Indicates that something possesses characteristics, elements, or attributes of historical significance.
-
D.
hasHistoricalEntity
Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
-
E.
hasHistoricalOrigin
Indicates that something originated, was first established, or came into existence during a specific historical period or context.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edb3ec481908b26164d4470c9bc |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:21 a.m.