Triple
T5578949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bala Hanuman Temple |
E146591
|
entity |
| Predicate | stateISOCode |
P20781
|
FINISHED |
| Object | IN-GJ |
—
|
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: IN-GJ | Statement: [Bala Hanuman Temple, stateISOCode, IN-GJ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateISOCode Context triple: [Bala Hanuman Temple, stateISOCode, IN-GJ]
-
A.
stateOrTerritory
Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
-
B.
stateName
Indicates that an entity is identified by or associated with a particular state’s name.
-
C.
stateSubdivisionCode
chosen
Indicates the standardized code that identifies a specific subdivision (such as a state, province, or region) within a larger country or territory.
-
D.
stateOfIncorporation
Indicates the legal jurisdiction (state or equivalent) under whose laws an organization or company is formally incorporated.
-
E.
stateNickname
Indicates that one entity is the commonly used nickname or informal moniker for a given state.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0206bfea08190aa2c8df9f88013ac |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b147cc081909237f3f2967d4cb8 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.