Triple
T18734440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barakar River |
E458123
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Giridih |
—
|
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: Giridih | Statement: [Barakar River, flowsNear, Giridih]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giridih Context triple: [Barakar River, flowsNear, Giridih]
-
A.
Giridih
chosen
Giridih is a city in eastern India known for its coal and mica mining, situated in the Giridih district of the state of Jharkhand.
-
B.
Sitamarhi
Sitamarhi is a town in the Indian state of Bihar, historically associated with the legend of Sita’s birthplace and serving as an important local commercial and cultural center.
-
C.
Daltonganj
Daltonganj, now officially known as Medininagar, is a town in the Palamu district of Jharkhand, India, serving as an important regional administrative and commercial center.
-
D.
Begusarai
Begusarai is an industrial and agricultural city in the Indian state of Bihar, known for its oil refinery and role as a regional commercial hub.
-
E.
Dhanbad
Dhanbad is a major industrial city in eastern India, widely known as the "Coal Capital of India" for its extensive coal mining operations.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7a06788190a8e09c657aaeb8e5 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.