Triple
T18734466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barakar River |
E458123
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Barakar |
—
|
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: Barakar | Statement: [Barakar River, nearbyTown, Barakar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barakar Context triple: [Barakar River, nearbyTown, Barakar]
-
A.
Barakar
chosen
Barakar is a town in the Asansol region of West Bengal, India, known for its proximity to major coal mining operations and its location near the Barakar River.
-
B.
Bara Gali
Bara Gali is a small mountain resort town in Pakistan’s Galiyat region, known for its cool climate, forested hills, and scenic hiking opportunities.
-
C.
Ghoghardiha
Ghoghardiha is a town located in the Madhubani district of the Indian state of Bihar.
-
D.
Koilwar
Koilwar is a town in the Bhojpur district of Bihar, India, known for its historic rail-cum-road bridge over the Son River and its role as a regional transport hub.
-
E.
Damouchari
Damouchari is a small coastal village in the Pelion region of Greece, known for its picturesque harbor, traditional stone houses, and use as a filming location for the movie "Mamma Mia!".
- 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.