Triple
T11164071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manta (SeaWorld San Diego) |
E264114
|
entity |
| Predicate | hasAssociatedAnimalExhibit |
P98192
|
FINISHED |
| Object | manta ray exhibit |
—
|
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: manta ray exhibit | Statement: [Manta (SeaWorld San Diego), hasAssociatedAnimalExhibit, manta ray exhibit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedAnimalExhibit Context triple: [Manta (SeaWorld San Diego), hasAssociatedAnimalExhibit, manta ray exhibit]
-
A.
hasExhibitSpecies
Indicates that an exhibit or display includes or features a particular species.
-
B.
animalExhibits
Indicates that an animal displays, shows, or demonstrates a particular behavior, trait, or characteristic.
-
C.
hasZoo
Indicates that one entity possesses, operates, or is associated with a zoo.
-
D.
hasExhibits
Indicates that an entity (such as a museum, gallery, or event) displays or presents certain items, artworks, or objects as part of its collection or show.
-
E.
hasIndoorExhibits
Indicates that an entity provides or contains exhibits that are located indoors.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e887293081909830852000d533fa |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cec26fc8190a5497d186306f935 |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d7706116248190a87440bec3960884 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:29 p.m.