Triple
T23957845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vao |
E603844
|
entity |
| Predicate | spokenOffCoastOf |
P154511
|
FINISHED |
| Object | Malakula |
—
|
NE NERFINISHED |
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: Malakula | Statement: [Vao, spokenOffCoastOf, Malakula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenOffCoastOf Context triple: [Vao, spokenOffCoastOf, Malakula]
-
A.
spokenOnCoastOf
Indicates that something (typically a language or dialect) is spoken in regions located along a coastline.
-
B.
coastOff
Indicates that one entity is located just off the coast of another, typically in nearby offshore waters rather than directly on the shoreline.
-
C.
spokenOnIsland
Indicates that an act of speaking or a spoken utterance occurred while the speaker was on an island.
-
D.
shore
Indicates a relationship where one entity forms or lies along the edge or boundary of a body of water, such as a sea, lake, or river.
-
E.
usedOnCoastOf
Indicates that something is utilized or applied in locations situated along the coast of a particular body of water.
- F. None of above. chosen
Provenance (4 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_69e2954222288190a7323554d0cca8d7 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d85d348190946b578e1a1c3bcc |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:22 p.m.