Triple
T4611842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beas |
E100575
|
entity |
| Predicate | distanceToAmritsarApproxKm |
P57428
|
FINISHED |
| Object | about 40 km |
—
|
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 40 km | Statement: [Beas, distanceToAmritsarApproxKm, about 40 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAmritsarApproxKm Context triple: [Beas, distanceToAmritsarApproxKm, about 40 km]
-
A.
distanceFromChandigarh_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Chandigarh.
-
B.
distanceToJammu
Indicates the spatial distance between a given entity or location and the place Jammu.
-
C.
distanceFromShimla_km
Indicates the physical distance, measured in kilometers, between a given place and Shimla.
-
D.
distanceToDharamshala
Indicates the spatial distance between a given entity and the location of Dharamshala.
-
E.
distanceToDelhiApproxKm
Indicates the approximate distance, measured in kilometers, between a given entity’s location and Delhi.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59bffbf08190b13ef0810e6f9d19 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:12 p.m.