Triple
T37086604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chondi, Jamkhed, Ahmednagar, Maharashtra |
E918302
|
entity |
| Predicate | nearestAdministrativeTown |
P145151
|
FINISHED |
| Object |
Jamkhed
Jamkhed is a town in the Ahmednagar district of Maharashtra, India, known for its rural healthcare and community development initiatives.
|
E2215504
|
NE FINISHED |
How this triple was built (3 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: Jamkhed | Statement: [Chondi, Jamkhed, Ahmednagar, Maharashtra, nearestAdministrativeTown, Jamkhed]
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: Jamkhed Triple: [Chondi, Jamkhed, Ahmednagar, Maharashtra, nearestAdministrativeTown, Jamkhed]
Generated description
Jamkhed is a town in the Ahmednagar district of Maharashtra, India, known for its rural healthcare and community development initiatives.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestAdministrativeTown Context triple: [Chondi, Jamkhed, Ahmednagar, Maharashtra, nearestAdministrativeTown, Jamkhed]
-
A.
nearestSuburbOrTown
chosen
Indicates that one place is the geographically closest suburb or town to another specified location.
-
B.
nearestTownDistance
Indicates the distance from a given location to the closest town.
-
C.
nearestMajorTowns
Indicates that one or more major towns are the closest significant urban centers to a given location or entity.
-
D.
nearestCityTo
Indicates that one city is the closest in distance to a given location or entity compared to all other cities.
-
E.
hasNearestLargerSettlement
Indicates that one settlement is associated with the geographically closest settlement that is larger in size or population.
- F. None of above.
Provenance (6 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a402b9d71bc8190859cb2ca00577f21 |
completed | June 27, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_6a402c5380008190b33806706655f030 |
completed | June 27, 2026, 8:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a402e678e10819081e8b6b5bf2f233d |
completed | June 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.