Triple
T30260016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amroha |
E769461
|
entity |
| Predicate | distanceFromMoradabad |
P203052
|
FINISHED |
| Object | approximately 35 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: approximately 35 kilometres | Statement: [Amroha, distanceFromMoradabad, approximately 35 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMoradabad Context triple: [Amroha, distanceFromMoradabad, approximately 35 kilometres]
-
A.
distanceFromGhaziabad
Indicates the measured or specified distance separating a given entity or location from Ghaziabad.
-
B.
distanceToMeerut
Indicates the spatial distance between a given entity’s location and the city of Meerut.
-
C.
distanceToLucknow
Indicates the spatial distance between a given entity’s location and the city of Lucknow.
-
D.
distanceFromGurugram_km
Indicates the physical distance, measured in kilometers, between an entity’s location and Gurugram.
-
E.
distanceFromAurangabad
Indicates the measured spatial distance between a given location and Aurangabad.
- F. None of above. chosen
Provenance (4 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_69f22484a5f48190b678cd607700bc82 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0119132e848190820a688d139fbf75 |
completed | May 10, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_6a01188dfdec8190b7f675264a281733 |
completed | May 10, 2026, 11:45 p.m. |
| PDg | Predicate description generation | batch_6a0119127ca481909e921e7d95716b00 |
completed | May 10, 2026, 11:47 p.m. |
Created at: April 29, 2026, 7:41 p.m.