Triple
T19079633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Bihar |
E466990
|
entity |
| Predicate | politicalRegion |
P7929
|
FINISHED |
| Object | Shahabad region |
—
|
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: Shahabad region | Statement: [Western Bihar, politicalRegion, Shahabad region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahabad region Context triple: [Western Bihar, politicalRegion, Shahabad region]
-
A.
Shahabad region
chosen
The Shahabad region is a historical area in the Indian state of Bihar, known for its former feudal estates and role in regional politics and agrarian society.
-
B.
Badaro district
Badaro district is a vibrant residential and commercial neighborhood in Beirut, Lebanon, known for its cafés, nightlife, and proximity to major cultural and governmental institutions.
-
C.
Shahabad
Shahabad is a town in Uttar Pradesh, India, situated within the administrative boundaries of Rampur district.
-
D.
Shahabad
Shahabad is a town in the Kurukshetra district of Haryana, India, known historically by its former name Shahbad Markanda.
-
E.
Sheema District
Sheema District is an administrative district in southwestern Uganda known for its predominantly rural communities and agricultural-based economy.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e82ec08190873186ff51e89d86 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.