Triple
T23288284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahraich district |
E589953
|
entity |
| Predicate | headquarters |
P62
|
FINISHED |
| Object | Bahraich |
—
|
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: Bahraich | Statement: [Bahraich district, headquarters, Bahraich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bahraich Context triple: [Bahraich district, headquarters, Bahraich]
-
A.
Bahraich
chosen
Bahraich is a city in the Indian state of Uttar Pradesh, known for its location in the Terai region near the Nepal border and its historical and cultural significance.
-
B.
al-Bahra
al-Bahra is an Arabic family name notably borne by Syrian politician and opposition figure Hadi al-Bahra.
-
C.
Bakhdida
Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
-
D.
Bahau
Bahau is a prominent town in the Malaysian state of Negeri Sembilan, serving as a local commercial and transportation hub for the surrounding rural areas.
-
E.
Bahau
Bahau is an Austronesian Dayak language variety spoken by indigenous communities in central Borneo, particularly in Indonesia’s East and North Kalimantan regions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19649570c8190b565fafa55b1f886 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 5 p.m.