Triple
T18837008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raisen district |
E460689
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Udaipura
Udaipura is a town in the central Indian state of Madhya Pradesh, known for its location within the Raisen district and its role as a local administrative and market center.
|
E1349829
|
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: Udaipura | Statement: [Raisen district, contains, Udaipura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Udaipura Context triple: [Raisen district, contains, Udaipura]
-
A.
Maulapur
Maulapur is a town located in Madhesh Province in southeastern Nepal.
-
B.
Badarpur
Badarpur is a residential and commercial neighborhood in South East Delhi, India, known for its major traffic junction and connectivity via the Badarpur border and metro station.
-
C.
Dantapura
Dantapura was an ancient city traditionally identified as the royal and administrative center of the Kalinga kingdom in eastern India.
-
D.
Gangathura
Gangathura is the given first name of Dr. G. M. Naicker, a notable South African anti-apartheid activist and medical doctor.
-
E.
Kundarki
Kundarki is a notable town in the Moradabad district of Uttar Pradesh, India, serving as a local hub for trade and administration.
- 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: Udaipura Triple: [Raisen district, contains, Udaipura]
Generated description
Udaipura is a town in the central Indian state of Madhya Pradesh, known for its location within the Raisen district and its role as a local administrative and market center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Udaipura Target entity description: Udaipura is a town in the central Indian state of Madhya Pradesh, known for its location within the Raisen district and its role as a local administrative and market center.
-
A.
Maulapur
Maulapur is a town located in Madhesh Province in southeastern Nepal.
-
B.
Badarpur
Badarpur is a residential and commercial neighborhood in South East Delhi, India, known for its major traffic junction and connectivity via the Badarpur border and metro station.
-
C.
Dantapura
Dantapura was an ancient city traditionally identified as the royal and administrative center of the Kalinga kingdom in eastern India.
-
D.
Gangathura
Gangathura is the given first name of Dr. G. M. Naicker, a notable South African anti-apartheid activist and medical doctor.
-
E.
Kundarki
Kundarki is a notable town in the Moradabad district of Uttar Pradesh, India, serving as a local hub for trade and administration.
- 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_69e5a99e86388190957acaaab401b5cb |
completed | April 20, 2026, 4:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05910170a481908ec1ca298eb3da7c |
completed | May 14, 2026, 9:08 a.m. |
| NEDg | Description generation | batch_6a05961fab888190bb34bc40286ea647 |
completed | May 14, 2026, 9:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05966ac1b48190bfb13754b2b6b610 |
completed | May 14, 2026, 9:31 a.m. |
Created at: April 10, 2026, 11:56 a.m.