Triple
T18416762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meerut district |
E441912
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object |
Kharkhoda
Kharkhoda is a town in the Indian state of Uttar Pradesh that serves as a local urban hub within Meerut district.
|
E1322660
|
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: Kharkhoda | Statement: [Meerut district, hasUrbanCenter, Kharkhoda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kharkhoda Context triple: [Meerut district, hasUrbanCenter, Kharkhoda]
-
A.
Kharkhoda
Kharkhoda is a town in the Sonipat district of the northern Indian state of Haryana, known for its agricultural surroundings and growing residential and commercial development.
-
B.
Hakha
Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
-
C.
Kharia
Kharia is an Austroasiatic tribal language spoken primarily by the Kharia people in eastern-central India, especially in the state of Jharkhand.
-
D.
Mehnagar
Mehnagar is a town and administrative block located in the Azamgarh district of Uttar Pradesh, India.
-
E.
Khar
Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
- 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: Kharkhoda Triple: [Meerut district, hasUrbanCenter, Kharkhoda]
Generated description
Kharkhoda is a town in the Indian state of Uttar Pradesh that serves as a local urban hub within Meerut district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kharkhoda Target entity description: Kharkhoda is a town in the Indian state of Uttar Pradesh that serves as a local urban hub within Meerut district.
-
A.
Kharkhoda
Kharkhoda is a town in the Sonipat district of the northern Indian state of Haryana, known for its agricultural surroundings and growing residential and commercial development.
-
B.
Hakha
Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
-
C.
Kharia
Kharia is an Austroasiatic tribal language spoken primarily by the Kharia people in eastern-central India, especially in the state of Jharkhand.
-
D.
Mehnagar
Mehnagar is a town and administrative block located in the Azamgarh district of Uttar Pradesh, India.
-
E.
Khar
Khar is a town in northwestern Pakistan that serves as the administrative and commercial center of the Bajaur region in Khyber Pakhtunkhwa.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a284b608190b77c360a72aceb7a |
completed | April 19, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e24f407c8190899de1640277fcc8 |
completed | May 13, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_6a03e2d8215881908b1b367f409325c3 |
completed | May 13, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e6b7c3a88190919ef217cdbcd0ff |
completed | May 13, 2026, 2:49 a.m. |
Created at: April 10, 2026, 10:47 a.m.