Triple
T29204205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adilabad railway station |
E740363
|
entity |
| Predicate | formerStateTerritory |
P96680
|
FINISHED |
| Object | Andhra Pradesh |
—
|
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: Andhra Pradesh | Statement: [Adilabad railway station, formerStateTerritory, Andhra Pradesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerStateTerritory Context triple: [Adilabad railway station, formerStateTerritory, Andhra Pradesh]
-
A.
traditionalStateOrTerritory
Indicates that an entity is located within, associated with, or belongs to a traditional state or territory as defined by historical or customary boundaries.
-
B.
stateOfTerritory
Indicates the political or administrative state that has authority over a given territory.
-
C.
formerAdministrativeTerritory
chosen
Indicates that one entity was previously an official administrative territory of another entity but no longer holds that status.
-
D.
endStateOrTerritory
Indicates the resulting state or territory that an entity or process ends up in after a change, action, or transition.
-
E.
formerProvince
Indicates that an entity was previously a province of another entity but no longer holds that administrative status.
- 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: April 28, 2026, 12:08 p.m.