Triple
T17581540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saharanpur district |
E428214
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Gangoh
Gangoh is a town in the Saharanpur district of Uttar Pradesh, India, known for its historical and religious significance.
|
E1276378
|
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: Gangoh | Statement: [Saharanpur district, hasTown, Gangoh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gangoh Context triple: [Saharanpur district, hasTown, Gangoh]
-
A.
Ghangaria
Ghangaria is a small Himalayan village in Uttarakhand, India, that serves as the base camp for pilgrims to Hemkunt Sahib and trekkers to the Valley of Flowers.
-
B.
Ghoghardiha
Ghoghardiha is a town located in the Madhubani district of the Indian state of Bihar.
-
C.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
-
D.
Ghatshila
Ghatshila is a scenic town in Jharkhand, India, known for its forested hills, waterfalls, and literary association with Bengali writer Bibhutibhushan Bandyopadhyay.
-
E.
Laxmangarh
Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
- 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: Gangoh Triple: [Saharanpur district, hasTown, Gangoh]
Generated description
Gangoh is a town in the Saharanpur district of Uttar Pradesh, India, known for its historical and religious significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gangoh Target entity description: Gangoh is a town in the Saharanpur district of Uttar Pradesh, India, known for its historical and religious significance.
-
A.
Ghangaria
Ghangaria is a small Himalayan village in Uttarakhand, India, that serves as the base camp for pilgrims to Hemkunt Sahib and trekkers to the Valley of Flowers.
-
B.
Ghoghardiha
Ghoghardiha is a town located in the Madhubani district of the Indian state of Bihar.
-
C.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
-
D.
Ghatshila
Ghatshila is a scenic town in Jharkhand, India, known for its forested hills, waterfalls, and literary association with Bengali writer Bibhutibhushan Bandyopadhyay.
-
E.
Laxmangarh
Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463ce8eb081909257be47d150aa04 |
completed | April 19, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01ddef82d48190a5940f7da646c380 |
completed | May 11, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a01de93c1448190aa2328919d407252 |
completed | May 11, 2026, 1:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01e05515d88190b343ebc1aad4a351 |
completed | May 11, 2026, 1:57 p.m. |
Created at: April 10, 2026, 5:50 a.m.