Triple
T23144313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valsad |
E577543
|
entity |
| Predicate | distanceToMumbaiApproxKm |
P74678
|
FINISHED |
| Object | about 200 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 200 km | Statement: [Valsad, distanceToMumbaiApproxKm, about 200 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMumbaiApproxKm Context triple: [Valsad, distanceToMumbaiApproxKm, about 200 km]
-
A.
distanceFromMumbaiApproxKm
chosen
Indicates the approximate physical distance, measured in kilometers, between a given location and Mumbai.
-
B.
distanceToDelhiApproxKm
Indicates the approximate distance, measured in kilometers, between a given entity’s location and Delhi.
-
C.
distanceFromKolkata
Indicates the spatial distance between a given location and the city of Kolkata.
-
D.
distanceToDelhiByRoad_km
Indicates the road travel distance, measured in kilometers, from a given place to Delhi.
-
E.
distanceFromPune
Indicates the spatial distance between a given location or entity and the city of Pune.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecd40108190aaad7faf754b7936 |
completed | April 29, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:01 p.m.