Triple
T26047228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Javan surili |
E647865
|
entity |
| Predicate | primaryForestDependency |
P128550
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Javan surili, primaryForestDependency, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryForestDependency Context triple: [Javan surili, primaryForestDependency, high]
-
A.
hasForestAssociation
chosen
Indicates an ecological or contextual relationship in which an entity is associated with, influenced by, or characteristically occurs in forest environments.
-
B.
partOfForestRegion
Indicates that one entity is a component or subdivision within a larger forest region.
-
C.
hasForestType
Indicates that an area or location is characterized by a specific type or classification of forest.
-
D.
locatedInForest
Indicates that an entity is situated within the boundaries of a forest.
-
E.
forestDistrict
Indicates that one entity functions as the forest district or forest management administrative unit responsible for the other 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 22, 2026, 9:10 a.m.