Triple
T6037676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalanggaman Island |
E134461
|
entity |
| Predicate | approximateTravelTimeFromPalompon |
P68304
|
FINISHED |
| Object | about 1 hour by boat |
—
|
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 hour by boat | Statement: [Kalanggaman Island, approximateTravelTimeFromPalompon, about 1 hour by boat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateTravelTimeFromPalompon Context triple: [Kalanggaman Island, approximateTravelTimeFromPalompon, about 1 hour by boat]
-
A.
distanceFromManila
Indicates the measured spatial distance between a given entity’s location and the city of Manila.
-
B.
distanceFromPagoPago
Indicates the spatial distance between a given entity and the location of Pago Pago.
-
C.
hasApproximateWalkingTimeTo
Indicates that there is an estimated or approximate amount of time it takes to walk from one entity to another.
-
D.
distanceToTulum
Indicates the measured or relative distance between a given entity or location and Tulum.
-
E.
approximateDrivingTimeFromLAnse
Indicates the estimated amount of time it takes to drive from L'Anse to another specified location.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056cb06508190a90beb4d9d083835 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049e9a68c81909da0cfe4779ce9b5 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:08 p.m.