Triple
T13834305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangyan Dao |
E332484
|
entity |
| Predicate | distanceToSubicBay |
P111688
|
FINISHED |
| Object | about 220 km west of Subic Bay |
—
|
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: about 220 km west of Subic Bay | Statement: [Huangyan Dao, distanceToSubicBay, about 220 km west of Subic Bay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSubicBay Context triple: [Huangyan Dao, distanceToSubicBay, about 220 km west of Subic Bay]
-
A.
distanceFromPuertoPrincesaKilometers
Indicates the physical distance, measured in kilometers, between a given location and Puerto Princesa.
-
B.
distanceFromManila
Indicates the measured spatial distance between a given entity’s location and the city of Manila.
-
C.
distanceFromPalawanApprox
Indicates an approximate measure of how far something is from Palawan.
-
D.
approxDistanceFromCebuCity
Indicates that one entity is located at an approximate distance from Cebu City.
-
E.
distanceFromLuzon
Indicates the measured spatial distance between a given entity or location and the region of Luzon.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de029a34bc8190ae892ef7b09fc9e9 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:13 p.m.