Triple
T16413339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagsasa Cove |
E398619
|
entity |
| Predicate | distanceFromPundaquitByBoat |
P123332
|
FINISHED |
| Object | about 1 to 1.5 hours |
—
|
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 1 to 1.5 hours | Statement: [Nagsasa Cove, distanceFromPundaquitByBoat, about 1 to 1.5 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPundaquitByBoat Context triple: [Nagsasa Cove, distanceFromPundaquitByBoat, about 1 to 1.5 hours]
-
A.
distanceToParikia
Indicates the spatial distance between a given location or object and Parikia.
-
B.
approxDistanceInKilometersFromWandoorJetty
Indicates an approximate distance, measured in kilometers, between a subject entity and the Wandoor Jetty location.
-
C.
distanceFromPuertoPrincesaKilometers
Indicates the physical distance, measured in kilometers, between a given location and Puerto Princesa.
-
D.
distanceFromPalawanApprox
Indicates an approximate measure of how far something is from Palawan.
-
E.
distanceFromJamestown
Indicates the measured distance between a given location and Jamestown.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32875bad08190bc3e2218df8c1b07 |
completed | April 18, 2026, 6:45 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:09 a.m.