Triple
T37842359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalanikūpule |
E943511
|
entity |
| Predicate | lastRulingChiefOf |
P1546
|
FINISHED |
| Object | Maui |
—
|
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: Maui | Statement: [Kalanikūpule, lastRulingChiefOf, Maui]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastRulingChiefOf Context triple: [Kalanikūpule, lastRulingChiefOf, Maui]
-
A.
lastMonarchOf
chosen
Indicates that one entity is the final reigning monarch of another entity, such as a country, kingdom, or territory.
-
B.
lastDeJureHolder
Indicates that one entity is the most recent legally recognized holder or possessor of another entity (such as a title, office, or right).
-
C.
lastRulerPersonalName
Indicates the personal name of the most recent or final ruler associated with an entity.
-
D.
penultimateMonarchOf
Indicates that one entity is the second-to-last monarch to have ruled over the other entity.
-
E.
lastChancellor
Indicates that one entity served as the most recent chancellor of another entity (such as a country, institution, or organization).
- 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.