Triple
T18835966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dewas district |
E460665
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Khategaon
Khategaon is a town in the Indian state of Madhya Pradesh, known primarily for its agricultural economy and role as a local commercial center.
|
E1345497
|
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: Khategaon | Statement: [Dewas district, containsTown, Khategaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khategaon Context triple: [Dewas district, containsTown, Khategaon]
-
A.
Ghoghardiha
Ghoghardiha is a town located in the Madhubani district of the Indian state of Bihar.
-
B.
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.
-
C.
Gharapuri
Gharapuri is the historical name of Elephanta Island near Mumbai, India, renowned for its ancient rock-cut cave temples dedicated primarily to the Hindu god Shiva.
-
D.
Agarpara
Agarpara is a suburban locality in the northern part of Kolkata, West Bengal, known primarily as a residential and industrial area within the Kolkata metropolitan region.
-
E.
Kotkapura
Kotkapura is a historic town and commercial center in the Faridkot district of Punjab, India, known for its textile and agricultural markets.
- 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: Khategaon Triple: [Dewas district, containsTown, Khategaon]
Generated description
Khategaon is a town in the Indian state of Madhya Pradesh, known primarily for its agricultural economy and role as a local commercial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khategaon Target entity description: Khategaon is a town in the Indian state of Madhya Pradesh, known primarily for its agricultural economy and role as a local commercial center.
-
A.
Ghoghardiha
Ghoghardiha is a town located in the Madhubani district of the Indian state of Bihar.
-
B.
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.
-
C.
Gharapuri
Gharapuri is the historical name of Elephanta Island near Mumbai, India, renowned for its ancient rock-cut cave temples dedicated primarily to the Hindu god Shiva.
-
D.
Agarpara
Agarpara is a suburban locality in the northern part of Kolkata, West Bengal, known primarily as a residential and industrial area within the Kolkata metropolitan region.
-
E.
Kotkapura
Kotkapura is a historic town and commercial center in the Faridkot district of Punjab, India, known for its textile and agricultural markets.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99d491c81909d8e55ac45621d44 |
completed | April 20, 2026, 4:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05676b320481909bea3533d2c7fc27 |
completed | May 14, 2026, 6:10 a.m. |
| NEDg | Description generation | batch_6a0568910c20819093ab2c08b79698cf |
completed | May 14, 2026, 6:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a056959a154819095fec2ee55e4734e |
completed | May 14, 2026, 6:19 a.m. |
Created at: April 10, 2026, 11:56 a.m.