Triple
T24329587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Topaze |
E613200
|
entity |
| Predicate | destinationOfHoaHakananaiʻa |
P55613
|
FINISHED |
| Object | United Kingdom |
—
|
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: United Kingdom | Statement: [HMS Topaze, destinationOfHoaHakananaiʻa, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: destinationOfHoaHakananaiʻa Context triple: [HMS Topaze, destinationOfHoaHakananaiʻa, United Kingdom]
-
A.
locatedMakaiOf
Indicates that one entity is geographically situated to the makai (seaward or toward the ocean) side of another entity.
-
B.
destinationIsland
chosen
Indicates the island that serves as the endpoint or target location to which someone or something is going or being directed.
-
C.
Kon-TikiDeparturePoint
Indicates the location from which the Kon-Tiki expedition set out or departed.
-
D.
distanceToKaikohe
Indicates the spatial distance between a given location or entity and the town of Kaikohe.
-
E.
nearbyAtoll
Indicates that one entity (typically a location or feature) is situated close to or in the vicinity of an atoll.
- 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_69e2d7db6d5c819091194918157a7c1f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292f0539081908f2d1769ad122572 |
completed | April 29, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:55 a.m.