Triple
T12252432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bajul Ijo |
E292005
|
entity |
| Predicate | associatedWithAnimalSymbol |
P41568
|
FINISHED |
| Object | crocodile |
—
|
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: crocodile | Statement: [Bajul Ijo, associatedWithAnimalSymbol, crocodile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAnimalSymbol Context triple: [Bajul Ijo, associatedWithAnimalSymbol, crocodile]
-
A.
associatedWithAnimal
Indicates a relationship where an entity has a connection, link, or relevance to an animal.
-
B.
animalSymbol
chosen
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.
associationWithHumans
Indicates a general relationship, connection, or involvement between an entity and one or more humans.
-
E.
symbolizes
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.