Triple
T18310394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagbayan Peak |
E438607
|
entity |
| Predicate | distanceFromTagbilaran |
P131284
|
FINISHED |
| Object | roughly 60–70 kilometers |
—
|
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: roughly 60–70 kilometers | Statement: [Sagbayan Peak, distanceFromTagbilaran, roughly 60–70 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTagbilaran Context triple: [Sagbayan Peak, distanceFromTagbilaran, roughly 60–70 kilometers]
-
A.
distanceFromDavaoCity
Indicates the measured spatial distance between a given location and Davao City.
-
B.
distanceFromManila
Indicates the measured spatial distance between a given entity’s location and the city of Manila.
-
C.
distanceToDavaoCity
Indicates the measured distance between a given entity’s location and Davao City.
-
D.
approxDistanceFromCebuCity
Indicates that one entity is located at an approximate distance from Cebu City.
-
E.
distanceFromPalawanApprox
Indicates an approximate measure of how far something is from Palawan.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e502180d208190ae7c4f3d0ef3dc55 |
completed | April 19, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:36 a.m.