Triple
T479199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rano Raraku |
E9127
|
entity |
| Predicate | locatedOnSideOfIsland |
P3864
|
FINISHED |
| Object | southeast flank of Easter Island |
—
|
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: southeast flank of Easter Island | Statement: [Rano Raraku, locatedOnSideOfIsland, southeast flank of Easter Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnSideOfIsland Context triple: [Rano Raraku, locatedOnSideOfIsland, southeast flank of Easter Island]
-
A.
partOfIsland
chosen
Indicates that one entity is a portion or component of an island.
-
B.
locatedInArchipelago
Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
-
C.
locatedOnPeninsula
Indicates that one entity is situated on or within the geographic area of a peninsula.
-
D.
locatedAcrossRiverFrom
Indicates that one entity is situated on the opposite side of a river relative to another entity.
-
E.
onlyIslandIn
Indicates that the subject is the sole island contained within the specified area or context.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f056459881909749764cc4a7f9e8 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf1d5848190a7da27e2fddc136f |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.