Triple
T24432398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lifou people |
E616032
|
entity |
| Predicate | seaOrientation |
P156117
|
FINISHED |
| Object | seafaring tradition |
—
|
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: seafaring tradition | Statement: [Lifou people, seaOrientation, seafaring tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seaOrientation Context triple: [Lifou people, seaOrientation, seafaring tradition]
-
A.
oceanOrientation
Indicates the directional alignment or facing of something relative to an ocean.
-
B.
coastOrientation
Indicates the directional alignment or facing direction of a coastline relative to the cardinal or geographic axes.
-
C.
waveOrientation
Indicates the direction or alignment of a wave relative to a reference frame or surface.
-
D.
touchesSea
Indicates that one entity is in direct physical contact with the sea or coastline of another entity.
-
E.
seaOf
Indicates a relationship where one entity is metaphorically or literally surrounded or filled by another like a vast sea, emphasizing overwhelming abundance or expansiveness.
- 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29783b3208190997c47be1aa229af |
completed | April 29, 2026, 11:42 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:16 a.m.