Triple
T5079234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amity boat tours |
E114473
|
entity |
| Predicate | ownerInUniverse |
P57987
|
FINISHED |
| Object | Amity Island tourism industry |
—
|
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: Amity Island tourism industry | Statement: [Amity boat tours, ownerInUniverse, Amity Island tourism industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerInUniverse Context triple: [Amity boat tours, ownerInUniverse, Amity Island tourism industry]
-
A.
associatedUniverse
Indicates that one entity is linked or belongs to a particular universe, realm, or overarching world context.
-
B.
inUniverse
Indicates that one entity exists, occurs, or is set within the fictional or conceptual universe defined by another entity.
-
C.
inUniverseType
Indicates that one entity exists within, or is categorized as belonging to, a particular fictional or conceptual universe type defined by the other entity.
-
D.
inUniverseOrigin
Indicates that one entity originates from, or has its source within, the fictional universe or setting defined by another entity.
-
E.
ownedIn
chosen
Indicates that one entity possesses or holds legal or recognized ownership of another entity within a specific context, domain, 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f75cf0819088be9e076eaf3168 |
completed | March 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69bd7157fe608190b4515d56fdd0a616 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:39 p.m.