Triple
T16836611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eravur |
E409298
|
entity |
| Predicate | distanceToBatticaloa_km |
P125044
|
FINISHED |
| Object | approximately 14 |
—
|
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 14 | Statement: [Eravur, distanceToBatticaloa_km, approximately 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBatticaloa_km Context triple: [Eravur, distanceToBatticaloa_km, approximately 14]
-
A.
distanceFromGalle_km
Indicates the physical distance, measured in kilometers, between an entity and the location Galle.
-
B.
distanceToSriLanka
Indicates the spatial distance between a given entity’s location and the country of Sri Lanka.
-
C.
distanceToColombo
Indicates the measured or calculated spatial distance between a given entity’s location and the city of Colombo.
-
D.
distanceToKandy_km
Indicates the physical distance, measured in kilometers, from a given location to Kandy.
-
E.
directionFromColombo
Indicates the cardinal or relative compass direction of an entity’s location measured from Colombo.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b34d49d08190aa62f05d67244584 |
completed | April 18, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e34fb7c8c8819086975b7955b7d8ef |
completed | April 18, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:23 a.m.