Triple
T5249347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yap Islands |
E118543
|
entity |
| Predicate | hasTraditionalArtifact |
P40687
|
FINISHED |
| Object | stone paths |
—
|
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: stone paths | Statement: [Yap Islands, hasTraditionalArtifact, stone paths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalArtifact Context triple: [Yap Islands, hasTraditionalArtifact, stone paths]
-
A.
hasTraditionalSymbol
Indicates that something is associated with or represented by a conventional or culturally established symbol.
-
B.
hasTraditionalFormIn
Indicates that something possesses a customary or historically established form or representation within a specified context, system, or location.
-
C.
hasTraditionalBase
Indicates that something is supported by, built upon, or derived from an established traditional foundation or practice.
-
D.
hasTraditionElement
chosen
Indicates that something includes, embodies, or is associated with a particular traditional practice, custom, or cultural element.
-
E.
hasTypeOfArtifact
Indicates that one entity is classified as, or belongs to, a particular type or category of artifact in relation to another 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b787b34819081af96de9355bb4f |
completed | March 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69bd77c30bac8190a883ca45da35d667 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.