Triple
T21042682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanah Beru |
E518364
|
entity |
| Predicate | boatTypeConstructed |
P51721
|
FINISHED |
| Object | pinisi schooner |
—
|
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: pinisi schooner | Statement: [Tanah Beru, boatTypeConstructed, pinisi schooner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boatTypeConstructed Context triple: [Tanah Beru, boatTypeConstructed, pinisi schooner]
-
A.
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.
-
B.
boatConstructionMaterial
Indicates the material from which a boat is (or was) constructed.
-
C.
hullConstruction
Indicates the process or activity of building, assembling, or forming the main body (hull) of a vessel or similar structure.
-
D.
craftType
Indicates the specific kind or category of craft or vessel associated with an entity.
-
E.
shipTypeProduced
chosen
Indicates that a particular type of ship is produced, built, or manufactured by a given 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf0b27881909d1c5b58be387a74 |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:15 p.m.