Triple
T26642140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markapur Road |
E668808
|
entity |
| Predicate | distanceToSrisailamByRoad |
P197350
|
FINISHED |
| Object | approximately 85–100 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: approximately 85–100 km | Statement: [Markapur Road, distanceToSrisailamByRoad, approximately 85–100 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSrisailamByRoad Context triple: [Markapur Road, distanceToSrisailamByRoad, approximately 85–100 km]
-
A.
distanceFromTirupati
Indicates the measured distance between a given location and Tirupati.
-
B.
distanceToDelhiByRoad_km
Indicates the road travel distance, measured in kilometers, from a given place to Delhi.
-
C.
distanceToHyderabad
Indicates the spatial distance between a given entity’s location and the city of Hyderabad.
-
D.
distanceToSrinagar_km
Indicates the physical distance, measured in kilometers, between a given place or entity and the city of Srinagar.
-
E.
distanceToVijayawada
Indicates the spatial distance between a given location or entity and the city of Vijayawada.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
| PDg | Predicate description generation | batch_69fe8dde8d008190b03dc0f97618073c |
completed | May 9, 2026, 1:29 a.m. |
Created at: April 27, 2026, 2:29 a.m.