Triple
T13024791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waikato District |
E326274
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Raglan |
E392341
|
NE 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: Raglan | Statement: [Waikato District, hasSettlement, Raglan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raglan Context triple: [Waikato District, hasSettlement, Raglan]
-
A.
Raglan
Raglan is a historic village in southeast Wales best known for the impressive late medieval Raglan Castle.
-
B.
Raglan
chosen
Raglan is a coastal town in New Zealand’s Waikato region, known for its surf beaches, arts community, and relaxed seaside atmosphere.
-
C.
Raglan Harbour
Raglan Harbour is a scenic tidal inlet and popular recreational coastal area on the west coast of New Zealand’s North Island.
-
D.
Cardigan
Cardigan is a historic coastal town in west Wales known for its medieval castle, riverside setting on the Teifi, and role as a cultural and market center for the surrounding region.
-
E.
Cardigan
"Cardigan" is a folk-pop song by Taylor Swift from her 2020 album *Folklore*, noted for its introspective lyrics and atmospheric production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efac71881908a21d70c3c6ce099 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11c1f6c8190be1c570a7e44a313 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:52 p.m.