Triple
T9243451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziradei |
E222123
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Siwan district |
E429904
|
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: Siwan district | Statement: [Ziradei, partOf, Siwan district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siwan district Context triple: [Ziradei, partOf, Siwan district]
-
A.
Siwan district
chosen
Siwan district is an administrative district in the Indian state of Bihar, known for its agrarian economy and historical association with prominent political leaders.
-
B.
Sheohar district
Sheohar district is a small administrative district in the Indian state of Bihar, known for its predominantly rural character and agrarian economy.
-
C.
Nagar District
Nagar District is an administrative region in Gilgit-Baltistan, northern Pakistan, known for its mountainous terrain, glaciers, and strategic location along the Karakoram Highway.
-
D.
Saha District
Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
-
E.
Hapur district
Hapur district is an administrative district in the Indian state of Uttar Pradesh, located in the National Capital Region and known for its proximity to Delhi and growing industrial and transport connectivity.
- 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cd03edd37481908ea2f6dac354f04f |
completed | April 1, 2026, 11:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c72be25c8190931204b21966502e |
completed | April 4, 2026, 8:09 a.m. |
Created at: March 30, 2026, 7:30 p.m.