Triple
T17128390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puri district |
E415657
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kakatpur
Kakatpur is a town in the Indian state of Odisha, known for the Maa Mangala Temple and its cultural and religious significance in the Puri region.
|
E1254759
|
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: Kakatpur | Statement: [Puri district, contains, Kakatpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kakatpur Context triple: [Puri district, contains, Kakatpur]
-
A.
Karanpur
Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
-
B.
Kotkapura
Kotkapura is a historic town and commercial center in the Faridkot district of Punjab, India, known for its textile and agricultural markets.
-
C.
Partapur
Partapur is a locality in Meerut district of Uttar Pradesh, India, known for its proximity to the Dr. Bhimrao Ambedkar Airstrip and its growing urban and institutional development.
-
D.
Ishwarpur
Ishwarpur is a municipality-level city located in Nepal’s Madhesh Province.
-
E.
Janakpuri
Janakpuri is a prominent residential and commercial neighborhood in West Delhi, India, known for its planned layout, markets, and metro connectivity.
- 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: Kakatpur Triple: [Puri district, contains, Kakatpur]
Generated description
Kakatpur is a town in the Indian state of Odisha, known for the Maa Mangala Temple and its cultural and religious significance in the Puri region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kakatpur Target entity description: Kakatpur is a town in the Indian state of Odisha, known for the Maa Mangala Temple and its cultural and religious significance in the Puri region.
-
A.
Karanpur
Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
-
B.
Kotkapura
Kotkapura is a historic town and commercial center in the Faridkot district of Punjab, India, known for its textile and agricultural markets.
-
C.
Partapur
Partapur is a locality in Meerut district of Uttar Pradesh, India, known for its proximity to the Dr. Bhimrao Ambedkar Airstrip and its growing urban and institutional development.
-
D.
Ishwarpur
Ishwarpur is a municipality-level city located in Nepal’s Madhesh Province.
-
E.
Janakpuri
Janakpuri is a prominent residential and commercial neighborhood in West Delhi, India, known for its planned layout, markets, and metro connectivity.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f0285a408190ae5e4c4679c07fbf |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01482af1288190b7fdc8a84d0edeaf |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014ce60ba88190869fef8a9a31cdfc |
completed | May 11, 2026, 3:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014d6955d88190967ac5b3d2722ac0 |
completed | May 11, 2026, 3:30 a.m. |
Created at: April 10, 2026, 5:36 a.m.