Triple
T25482761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malda Town railway station |
E638619
|
entity |
| Predicate | zoneHeadquartersFor |
P82236
|
FINISHED |
| Object | Malda railway division |
—
|
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: Malda railway division | Statement: [Malda Town railway station, zoneHeadquartersFor, Malda railway division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoneHeadquartersFor Context triple: [Malda Town railway station, zoneHeadquartersFor, Malda railway division]
-
A.
zoneHeadquarter
chosen
Indicates that an entity serves as the main administrative or coordinating headquarters for a specified zone or region.
-
B.
headquartersFor
Indicates that a location serves as the main administrative center or base of operations for an organization or entity.
-
C.
hasHeadquartersFunctionFor
Indicates that an entity serves as the central coordinating or managing headquarters for another entity’s operations or activities.
-
D.
hasOrganizationHeadquarters
Indicates that an organization’s main administrative or operational center is located at a specific place.
-
E.
headquartersAt
Indicates that an organization’s main administrative center or primary office is located at a specified place.
- 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_69e75dbabeac8190bab30628f8b799d4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f77942908190b993fdf300182952 |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:31 p.m.