Triple
T19637822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baijnath |
E471447
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Palampur |
—
|
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: Palampur | Statement: [Baijnath, nearbyTown, Palampur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palampur Context triple: [Baijnath, nearbyTown, Palampur]
-
A.
Palampur
chosen
Palampur is a scenic hill town in the Indian state of Himachal Pradesh, known for its tea gardens and views of the Dhauladhar mountain range.
-
B.
Vikrampur
Vikrampur was a historic urban and political center in the Bengal region, renowned as an important seat of power and culture in medieval South Asia.
-
C.
Santalpur
Santalpur is a small town in the Patan district of Gujarat, India, known primarily as a local administrative and trading center for surrounding rural areas.
-
D.
Padampur
Padampur is a town in the Ganganagar district of Rajasthan, India, known for its agricultural economy supported by canal irrigation in the arid northwestern region of the state.
-
E.
Ganga Gram
Ganga Gram is a rural development initiative focused on transforming villages along the Ganges into model, environmentally sustainable communities.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64107f3fc8190ace6ae67287d280c |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.