Triple
T36015553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haidergarh |
E1041826
|
entity |
| Predicate | distanceToLucknowApproxKm |
P24190
|
FINISHED |
| Object | about 50–70 kilometres |
—
|
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: about 50–70 kilometres | Statement: [Haidergarh, distanceToLucknowApproxKm, about 50–70 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLucknowApproxKm Context triple: [Haidergarh, distanceToLucknowApproxKm, about 50–70 kilometres]
-
A.
distanceToLucknow
chosen
Indicates the spatial distance between a given entity’s location and the city of Lucknow.
-
B.
distanceFromPatna
Indicates the spatial distance between a given location and the city of Patna.
-
C.
distanceToJamshedpur_km
Indicates the physical distance, measured in kilometers, between a given location and Jamshedpur.
-
D.
distanceToDelhiApproxKm
Indicates the approximate distance, measured in kilometers, between a given entity’s location and Delhi.
-
E.
distanceToDelhiByRail_km
Indicates the distance, measured in kilometers, from a given place to Delhi when traveling by rail.
- 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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.