Triple
T15647044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champawat |
E376205
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Lohaghat
Lohaghat is a small hill town and popular scenic destination in Uttarakhand’s Kumaon region, known for its tranquil atmosphere and views of the surrounding Himalayas.
|
E1169366
|
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: Lohaghat | Statement: [Champawat, locatedNear, Lohaghat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lohaghat Context triple: [Champawat, locatedNear, Lohaghat]
-
A.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
B.
Ghatshila
Ghatshila is a scenic town in Jharkhand, India, known for its forested hills, waterfalls, and literary association with Bengali writer Bibhutibhushan Bandyopadhyay.
-
C.
Loharu
Loharu is a town in the Bhiwani district of Haryana, India, known for its railway junction and historical Loharu Fort.
-
D.
Barwadih
Barwadih is a small town in Jharkhand, India, known primarily as a local access point to the Palamau Tiger Reserve.
-
E.
Bijbehara
Bijbehara is a historic town in the Kashmir Valley of Jammu and Kashmir, India, known for its apple orchards and scenic location along the Jhelum River.
- 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: Lohaghat Triple: [Champawat, locatedNear, Lohaghat]
Generated description
Lohaghat is a small hill town and popular scenic destination in Uttarakhand’s Kumaon region, known for its tranquil atmosphere and views of the surrounding Himalayas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lohaghat Target entity description: Lohaghat is a small hill town and popular scenic destination in Uttarakhand’s Kumaon region, known for its tranquil atmosphere and views of the surrounding Himalayas.
-
A.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
B.
Ghatshila
Ghatshila is a scenic town in Jharkhand, India, known for its forested hills, waterfalls, and literary association with Bengali writer Bibhutibhushan Bandyopadhyay.
-
C.
Loharu
Loharu is a town in the Bhiwani district of Haryana, India, known for its railway junction and historical Loharu Fort.
-
D.
Barwadih
Barwadih is a small town in Jharkhand, India, known primarily as a local access point to the Palamau Tiger Reserve.
-
E.
Bijbehara
Bijbehara is a historic town in the Kashmir Valley of Jammu and Kashmir, India, known for its apple orchards and scenic location along the Jhelum River.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67936e388190913c9060194e5b53 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff6883b5048190b64e4361bc89dd80 |
completed | May 9, 2026, 5:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6911a76c819088c8a86d2106b6c6 |
completed | May 9, 2026, 5:04 p.m. |
Created at: April 10, 2026, 4:15 a.m.