Triple
T11739403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sitabdiara |
E279112
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Saran district |
E429903
|
NE 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: Saran district | Statement: [Sitabdiara, partOf, Saran district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saran district Context triple: [Sitabdiara, partOf, Saran district]
-
A.
Saran district
chosen
Saran district is an administrative district in the Indian state of Bihar, known for its historical significance and location along the Ganges and Ghaghara rivers.
-
B.
Sarine district
Sarine district is an administrative district in the canton of Fribourg in western Switzerland, centered around the city of Fribourg and encompassing surrounding municipalities.
-
C.
Andar District
Andar District is an administrative district in southeastern Afghanistan known for its predominantly rural communities and history of conflict within Ghazni Province.
-
D.
Maran District
Maran District is an administrative district in the state of Pahang, Malaysia, known for its rural landscape and agricultural activities.
-
E.
Bade District
Bade District is an urban district in Taoyuan City, Taiwan, known for its residential communities and growing industrial and commercial development.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f025f88190a39280806c9d7c33 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019c339cc81909967ecfa234e4ab8 |
completed | April 28, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:41 p.m.