Triple
T5164232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Herons |
E116510
|
entity |
| Predicate | associatedWithCrestAnimal |
P13551
|
FINISHED |
| Object | heron |
—
|
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: heron | Statement: [The Herons, associatedWithCrestAnimal, heron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCrestAnimal Context triple: [The Herons, associatedWithCrestAnimal, heron]
-
A.
associatedWithAnimal
Indicates a relationship where an entity has a connection, link, or relevance to an animal.
-
B.
animalSymbol
Indicates that one entity serves as a symbolic representation or emblem of the other in the form of an animal.
-
C.
animalAssociation
Indicates a relationship in which one animal is associated with another animal or entity, such as through interaction, co-occurrence, or ecological linkage.
-
D.
hasAnimal
chosen
Indicates that one entity possesses, keeps, or is associated with an animal.
-
E.
lionAttribute
Indicates that one entity has an attribute, property, or characteristic related to a lion in relation to another entity.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd792936d48190825da8826448c1da |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.