Triple
T7165913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umananda Temple |
E167066
|
entity |
| Predicate | islandAlsoKnownAs |
P63415
|
FINISHED |
| Object | Umananda Island |
—
|
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: Umananda Island | Statement: [Umananda Temple, islandAlsoKnownAs, Umananda Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: islandAlsoKnownAs Context triple: [Umananda Temple, islandAlsoKnownAs, Umananda Island]
-
A.
islandName
chosen
Indicates that an entity is identified by a specific island’s name.
-
B.
islandOf
Indicates that one place is an island belonging to, located within, or geographically associated with another specified area or body of land/water.
-
C.
nearestPopulatedIsland
Indicates that one island is the closest populated island to another specified location or island.
-
D.
formerIslandOf
Indicates that one entity was previously an island associated with another entity, but no longer holds that status.
-
E.
associatedIsland
Indicates that one entity is related to or connected with a particular island in some relevant way.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e832d2548190aacff0de80dbc268 |
completed | March 27, 2026, 8:27 p.m. |
| PD | Predicate disambiguation | batch_69c6e1cd5c948190a9113b23f7308c21 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:48 p.m.