Triple
T7602399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diphu Campus |
E180013
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Diphu
Diphu is a town in the Karbi Anglong district of Assam, India, known as an administrative and educational hub in the region.
|
E681940
|
NE FINISHED |
How this triple was built (4 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: Diphu | Statement: [Diphu Campus, locatedIn, Diphu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diphu Context triple: [Diphu Campus, locatedIn, Diphu]
-
A.
Dharangaon
Dharangaon is a town in the Jalgaon district of Maharashtra, India, known for its agricultural surroundings and role as a local commercial center.
-
B.
Bhatpara
Bhatpara is an industrial and residential town in the North 24 Parganas district of West Bengal, India, known for its jute mills and dense urban population along the Hooghly River.
-
C.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
D.
Bhatapara
Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
-
E.
Dergaon
Dergaon is a prominent town in Assam, India, known for its historical significance and role as an important local center within the Golaghat district.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Diphu Triple: [Diphu Campus, locatedIn, Diphu]
Generated description
Diphu is a town in the Karbi Anglong district of Assam, India, known as an administrative and educational hub in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diphu Target entity description: Diphu is a town in the Karbi Anglong district of Assam, India, known as an administrative and educational hub in the region.
-
A.
Dharangaon
Dharangaon is a town in the Jalgaon district of Maharashtra, India, known for its agricultural surroundings and role as a local commercial center.
-
B.
Bhatpara
Bhatpara is an industrial and residential town in the North 24 Parganas district of West Bengal, India, known for its jute mills and dense urban population along the Hooghly River.
-
C.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
D.
Bhatapara
Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
-
E.
Dergaon
Dergaon is a prominent town in Assam, India, known for its historical significance and role as an important local center within the Golaghat district.
- F. None of above. chosen
Provenance (5 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9f8e7848190b44d9c16b9c95d37 |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a20f6a288190befdc1063e4aa72c |
completed | March 29, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69c8a3c18f208190bff7ebdcf7ba2be1 |
completed | March 29, 2026, 4 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a7a002308190826cb99f238975c5 |
completed | March 29, 2026, 4:16 a.m. |
Created at: March 27, 2026, 3:54 p.m.