Triple
T36531781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallisian people |
E900464
|
entity |
| Predicate | hasTraditionalNameForIsland |
P17611
|
FINISHED |
| Object | ʻUvea |
—
|
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: ʻUvea | Statement: [Wallisian people, hasTraditionalNameForIsland, ʻUvea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalNameForIsland Context triple: [Wallisian people, hasTraditionalNameForIsland, ʻUvea]
-
A.
hasTraditionalName
chosen
Indicates that an entity is associated with a name traditionally used or recognized for it, often rooted in long-standing cultural or historical practice.
-
B.
hasIslandNamedAfter
Indicates that an entity has an island that is named after it.
-
C.
historicalNameOfIslands
Indicates that one name is a historical or former name used to refer to a particular group of islands.
-
D.
islandName
Indicates that an entity is identified by a specific island’s name.
-
E.
islandNameDerivedFrom
Indicates that the name of an island is derived from, based on, or taken from another specified source.
- 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_69f76e5fbb388190b70c4c15573c8143 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fff4530f908190afe9387f732c2b7e |
completed | May 10, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fff3c01a64819091196875b0c88607 |
completed | May 10, 2026, 2:56 a.m. |
Created at: May 3, 2026, 4:11 p.m.