Triple
T16070986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Highway 9 (India) |
E389858
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Dobhi |
E948576
|
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: Dobhi | Statement: [National Highway 9 (India), connectsCity, Dobhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dobhi Context triple: [National Highway 9 (India), connectsCity, Dobhi]
-
A.
Dobhi
chosen
Dobhi is a locality in the Gaya district of Bihar, India, known primarily as a small town along important regional road routes.
-
B.
Dobo
Dobo is the main town and administrative center of the Aru Islands in Indonesia, serving as the region’s political and economic hub.
-
C.
Doboka
Doboka is a town in the Nagaon district of Assam, India, known as a local commercial and transportation hub for the surrounding rural areas.
-
D.
Dhari
Dhari is a town in the Amreli district of Gujarat, India, known primarily as a local administrative and market center for the surrounding rural region.
-
E.
Bhokar
Bhokar is a legislative assembly constituency in the Nanded district of Maharashtra, India.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183be909c8190ac6c37ab047151ae |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe4827cd48190aa470c6537e72508 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.