Triple
T22504460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakshmi Mittal |
E556353
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Sadulpur
Sadulpur is a town in the Churu district of Rajasthan, India, known as the birthplace of steel magnate Lakshmi Mittal.
|
E1543879
|
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: Sadulpur | Statement: [Lakshmi Mittal, placeOfBirth, Sadulpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sadulpur Context triple: [Lakshmi Mittal, placeOfBirth, Sadulpur]
-
A.
Santalpur
Santalpur is a small town in the Patan district of Gujarat, India, known primarily as a local administrative and trading center for surrounding rural areas.
-
B.
Salempur
Salempur is a town in the Deoria district of Uttar Pradesh, India, known as a local administrative and commercial center.
-
C.
Shankarpur
Shankarpur is a quiet seaside village and emerging beach destination on the Bay of Bengal in West Bengal, India, known for its fishing harbor and relatively uncrowded shoreline.
-
D.
Salanpur
Salanpur is a locality in West Bengal, India, known primarily as a coal-mining and industrial area within the Asansol region.
-
E.
Ellichpur
Ellichpur is a historic city in Maharashtra, India, that once served as an important regional capital under the Deccan sultanates.
- 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: Sadulpur Triple: [Lakshmi Mittal, placeOfBirth, Sadulpur]
Generated description
Sadulpur is a town in the Churu district of Rajasthan, India, known as the birthplace of steel magnate Lakshmi Mittal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sadulpur Target entity description: Sadulpur is a town in the Churu district of Rajasthan, India, known as the birthplace of steel magnate Lakshmi Mittal.
-
A.
Santalpur
Santalpur is a small town in the Patan district of Gujarat, India, known primarily as a local administrative and trading center for surrounding rural areas.
-
B.
Salempur
Salempur is a town in the Deoria district of Uttar Pradesh, India, known as a local administrative and commercial center.
-
C.
Shankarpur
Shankarpur is a quiet seaside village and emerging beach destination on the Bay of Bengal in West Bengal, India, known for its fishing harbor and relatively uncrowded shoreline.
-
D.
Salanpur
Salanpur is a locality in West Bengal, India, known primarily as a coal-mining and industrial area within the Asansol region.
-
E.
Ellichpur
Ellichpur is a historic city in Maharashtra, India, that once served as an important regional capital under the Deccan sultanates.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5ac5808190a66f9111c350f4dc |
completed | April 29, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d57fc2c8190a811a3306d308c2f |
completed | May 18, 2026, 3:16 p.m. |
| NEDg | Description generation | batch_6a0b3645f5a881908b322d16c7704e27 |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b3769c36081909ff732275513bb2b |
completed | May 18, 2026, 3:59 p.m. |
Created at: April 16, 2026, 8:50 p.m.