Triple
T4606517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tausug |
E100449
|
entity |
| Predicate | traditionalBoatType |
P22942
|
FINISHED |
| Object | vinta |
—
|
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: vinta | Statement: [Tausug, traditionalBoatType, vinta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalBoatType Context triple: [Tausug, traditionalBoatType, vinta]
-
A.
traditionalVessel
chosen
Indicates that one entity is a vessel or container that follows traditional, customary, or historically established forms, designs, or uses in relation to another entity.
-
B.
hullType
Indicates the specific structural design or configuration of an object's hull, typically classifying how its outer body or shell is shaped or constructed.
-
C.
craftType
Indicates the specific kind or category of craft or vessel associated with an entity.
-
D.
hasBoat
Indicates that one entity possesses, owns, or has control over a boat.
-
E.
usesCrewedBoats
Indicates that an entity performs an activity or operation by employing boats that are crewed by people.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599c50d08190ab226cd0691e29f9 |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.