Triple
T26513778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billabong Pro Tahiti |
E669757
|
entity |
| Predicate | associatedWave |
P199434
|
FINISHED |
| Object | Teahupoʻo |
—
|
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: Teahupoʻo | Statement: [Billabong Pro Tahiti, associatedWave, Teahupoʻo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWave Context triple: [Billabong Pro Tahiti, associatedWave, Teahupoʻo]
-
A.
associatedVow
Indicates a relationship where a vow is linked or connected to a particular entity or event.
-
B.
associatedThrough
Indicates that two entities are connected or related to each other by means of a specified intermediary, context, or linkage.
-
C.
associatedSingle
Indicates a one-to-one association where an entity is linked to exactly one corresponding related entity.
-
D.
associatedDam
Indicates a relationship where one entity is linked or connected to a specific dam, typically as its related or corresponding dam structure.
-
E.
associatedSin
Indicates a relationship where one entity is linked or connected to a particular sin or wrongful act.
- 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69ff397e19a88190a945b826159f5290 |
completed | May 9, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69ff392400d0819088d30d08d4a774bd |
completed | May 9, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69ff397d6a2081908fa8f62e8902421b |
completed | May 9, 2026, 1:41 p.m. |
Created at: April 27, 2026, 1:22 a.m.