Triple
T947983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Suribachi |
E20455
|
entity |
| Predicate | islandPosition |
P16601
|
FINISHED |
| Object | southern tip of Iwo Jima |
—
|
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: southern tip of Iwo Jima | Statement: [Mount Suribachi, islandPosition, southern tip of Iwo Jima]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: islandPosition Context triple: [Mount Suribachi, islandPosition, southern tip of Iwo Jima]
-
A.
relativeLocationOnIsland
chosen
Indicates a spatial relationship where one entity’s position is described relative to another entity specifically in the context of being on an island.
-
B.
neighboringIsland
Indicates that one island is geographically adjacent to or very close to another island, typically separated only by a narrow body of water.
-
C.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
D.
isInIsland
Indicates that one entity is located within the geographic boundaries of an island.
-
E.
hasIslandNearby
Indicates that one location is situated close to an island in geographic space.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3be19448190a8863fce3d152430 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29f05f481908814bd11f235e9d0 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.