Triple
T36954123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold Hoarders |
E914145
|
entity |
| Predicate | offersVoyageType |
P24304
|
FINISHED |
| Object | Single-island treasure hunts |
—
|
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: Single-island treasure hunts | Statement: [Gold Hoarders, offersVoyageType, Single-island treasure hunts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersVoyageType Context triple: [Gold Hoarders, offersVoyageType, Single-island treasure hunts]
-
A.
voyageType
chosen
Indicates the specific category or nature of a journey or trip that an entity undertakes.
-
B.
sponsoredVesselType
Indicates that one entity has provided sponsorship or financial backing specifically for a vessel of a given type.
-
C.
sponsoredVoyagesOf
Indicates that one entity provided financial or logistical support for the voyages undertaken by another entity.
-
D.
offersClassOfTravel
Indicates that a service provider makes a particular class or tier of travel (e.g., economy, business, first) available as an option.
-
E.
vesselTypeServedOn
Indicates the type of vessel on which an entity has served or performed duty.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
Created at: May 3, 2026, 4:13 p.m.