Triple
T18439992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngaruroro River |
E450500
|
entity |
| Predicate | hasMouthNear |
P350
|
FINISHED |
| Object | Napier |
—
|
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: Napier | Statement: [Ngaruroro River, hasMouthNear, Napier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Napier Context triple: [Ngaruroro River, hasMouthNear, Napier]
-
A.
Napier
chosen
Napier is a coastal city in New Zealand renowned for its extensive Art Deco architecture and wine-producing Hawke's Bay region.
-
B.
Napier
Napier is a Scottish surname most famously associated with the mathematician John Napier, the inventor of logarithms.
-
C.
Napier
Napier is a small rural village in South Africa’s Western Cape, known for its historic architecture, farming community, and scenic Overberg countryside.
-
D.
City of Napier
The City of Napier is a coastal urban center in New Zealand’s Hawke’s Bay region, renowned for its extensive Art Deco architecture and role as a regional commercial and tourism hub.
-
E.
Dunedin
Dunedin is a coastal city in Pinellas County, Florida, known for its Scottish heritage, walkable downtown, and proximity to popular Gulf Coast beaches.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c0fda908190901a108fb9982a2d |
completed | April 19, 2026, 6:16 p.m. |
Created at: April 10, 2026, 11:30 a.m.