Triple
T18002510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Pedro, Laguna |
E430661
|
entity |
| Predicate | distanceToMetroManilaCenter |
P57879
|
FINISHED |
| Object | approximately 26 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: approximately 26 kilometers | Statement: [San Pedro, Laguna, distanceToMetroManilaCenter, approximately 26 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMetroManilaCenter Context triple: [San Pedro, Laguna, distanceToMetroManilaCenter, approximately 26 kilometers]
-
A.
distanceFromManila
chosen
Indicates the measured spatial distance between a given entity’s location and the city of Manila.
-
B.
distanceFromDavaoCity
Indicates the measured spatial distance between a given location and Davao City.
-
C.
approxDistanceFromCebuCity
Indicates that one entity is located at an approximate distance from Cebu City.
-
D.
distanceToIloiloCityCenter_km
Indicates the physical distance, measured in kilometers, from an entity’s location to the center of Iloilo City.
-
E.
distanceToDavaoCity
Indicates the measured distance between a given entity’s location and Davao City.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b3e9498c8190bdfa7a53b0c0d8db |
completed | April 19, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:23 a.m.