Triple
T10786486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheohar district |
E254463
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Sheohar town |
E887223
|
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: Sheohar town | Statement: [Sheohar district, namedAfter, Sheohar town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheohar town Context triple: [Sheohar district, namedAfter, Sheohar town]
-
A.
Sheohar
chosen
Sheohar is a town in the Indian state of Bihar that serves as an administrative and commercial center for the surrounding rural region.
-
B.
Rithala
Rithala is a metro station in Delhi, India, serving as the northern endpoint of the Delhi Metro’s Red Line and a key transit hub for the surrounding residential and commercial areas.
-
C.
Baldia Town
Baldia Town is a residential and industrial locality in the western part of Karachi, Pakistan, known for its dense population and proximity to major industrial zones.
-
D.
Naharkatiya town
Naharkatiya town is a settlement in Assam, India, known for its proximity to one of the region’s earliest and most significant oil-producing areas.
-
E.
Sheohar district
Sheohar district is a small administrative district in the Indian state of Bihar, known for its predominantly rural character and agrarian economy.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732d5422481908d7ab833c6cbc879 |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb0c85d288190b13b1bc66921332c |
completed | April 14, 2026, 9:25 p.m. |
Created at: April 8, 2026, 9:17 p.m.