Triple
T31809172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinunangan |
E811954
|
entity |
| Predicate | hasMajorIslandAttraction |
P6629
|
FINISHED |
| Object | San Pedro Island |
—
|
NE NERFINISHED |
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: San Pedro Island | Statement: [Hinunangan, hasMajorIslandAttraction, San Pedro Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorIslandAttraction Context triple: [Hinunangan, hasMajorIslandAttraction, San Pedro Island]
-
A.
isMajorAttractionFor
Indicates that something serves as a primary or highly significant draw or point of interest for a particular audience, group, or location.
-
B.
isMajorAttractionIn
chosen
Indicates that something is a primary or highly significant attraction within a particular place or location.
-
C.
hasIslandTourism
Indicates that an entity engages in or supports tourism activities specifically related to islands.
-
D.
hasAttractionBasedOn
Indicates that one entity feels an attraction toward another entity that is specifically grounded in a particular basis, criterion, or set of characteristics.
-
E.
containsAttraction
Indicates that one entity includes or encompasses an attraction (such as a point of interest, feature, or draw) within its bounds or scope.
- 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_69f348e846c081908eb468a0665afd55 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a004c41f13c8190bc47daf6a5ca3949 |
completed | May 10, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_6a004bce3e3081909b35ae5b3bf2b35e |
completed | May 10, 2026, 9:11 a.m. |
Created at: April 30, 2026, 11:43 p.m.