Triple
T18400028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajmer district |
E449967
|
entity |
| Predicate | stateCapitalDistanceFromHeadquarters |
P10889
|
FINISHED |
| Object | approximately 135 kilometres from Jaipur |
—
|
LITERAL FINISHED |
How this triple was built (2 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: approximately 135 kilometres from Jaipur | Statement: [Ajmer district, stateCapitalDistanceFromHeadquarters, approximately 135 kilometres from Jaipur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateCapitalDistanceFromHeadquarters Context triple: [Ajmer district, stateCapitalDistanceFromHeadquarters, approximately 135 kilometres from Jaipur]
-
A.
stateCapitalProximity
Indicates the spatial closeness or distance between a state’s capital city and another specified location.
-
B.
distanceFromCapital
chosen
Indicates the measured distance between a given location and the capital city of its corresponding region or country.
-
C.
hasCountyCapitalDistance
Indicates a distance relationship specifying how far a county is from its capital.
-
D.
districtHeadquartersDistance
Indicates the distance between a place and its corresponding district headquarters.
-
E.
distanceFromRegionalCapital
Indicates the measured spatial distance between a given place and its corresponding regional capital.
- F. None of above.
Provenance (3 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5194f2a8c8190afcd7db23e3795fb |
completed | April 19, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:46 a.m.