Triple
T20025797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yapak |
E494977
|
entity |
| Predicate | comparedToOtherAreasOfBoracay |
P138418
|
FINISHED |
| Object | less crowded than White Beach and Station 2 areas |
—
|
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: less crowded than White Beach and Station 2 areas | Statement: [Yapak, comparedToOtherAreasOfBoracay, less crowded than White Beach and Station 2 areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparedToOtherAreasOfBoracay Context triple: [Yapak, comparedToOtherAreasOfBoracay, less crowded than White Beach and Station 2 areas]
-
A.
bayLocation
Indicates that an entity (such as a bay) is geographically located in or along a specified place or region.
-
B.
distanceToSubicBay
Indicates the measured distance between a given location or entity and Subic Bay.
-
C.
developmentLevelComparedToMainlandCebu
Indicates the relative level of development of a place when compared specifically to that of mainland Cebu.
-
D.
resultAtSibuyanSea
Indicates that an event, action, or process has its outcome or occurrence located at the Sibuyan Sea.
-
E.
hasBioluminescentBay
Indicates that a location possesses a bay where the water naturally emits visible light due to bioluminescent organisms.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628d5b8c8190a35f95ac4a016550 |
completed | April 20, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:35 p.m.