Triple
T13529765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Fortuna Waterfall |
E323099
|
entity |
| Predicate | distanceFromTownCenter |
P1299
|
FINISHED |
| Object | a few kilometers from La Fortuna center |
—
|
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: a few kilometers from La Fortuna center | Statement: [La Fortuna Waterfall, distanceFromTownCenter, a few kilometers from La Fortuna center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTownCenter Context triple: [La Fortuna Waterfall, distanceFromTownCenter, a few kilometers from La Fortuna center]
-
A.
distanceFromDowntown
chosen
Indicates the physical distance between a given location and the central downtown area.
-
B.
distanceToWokingTownCentre
Indicates the spatial distance between a given location and the center of Woking town.
-
C.
distanceToReadingTownCentre
Indicates the measured distance between a given location and the centre of Reading town.
-
D.
districtHeadquartersDistance
Indicates the distance between a place and its corresponding district headquarters.
-
E.
directionFromCityCenter
Indicates the compass direction in which one location lies relative to the city center.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafba2c308190873efd15dfe26358 |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.