Triple
T19480513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Te Awa Kairangi |
E487366
|
entity |
| Predicate | hasBridge |
P386
|
FINISHED |
| Object | Moonshine Bridge |
—
|
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: Moonshine Bridge | Statement: [Te Awa Kairangi, hasBridge, Moonshine Bridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moonshine Bridge Context triple: [Te Awa Kairangi, hasBridge, Moonshine Bridge]
-
A.
Moonshine Bridge
chosen
Moonshine Bridge is a road bridge spanning the Hutt River in the Wellington region of New Zealand, serving as a key local transport link.
-
B.
White Bridge
White Bridge is a notable pedestrian bridge and popular tourist attraction spanning the Rioni River in Kutaisi, Georgia.
-
C.
Lynch’s Bridge
Lynch’s Bridge is a road bridge spanning the Maribyrnong River in Melbourne, Australia, connecting the suburbs of Kensington and Footscray.
-
D.
Wade’s Bridge
Wade’s Bridge is an 18th-century stone bridge in Aberfeldy, Scotland, designed by General George Wade as part of his military road-building program in the Highlands.
-
E.
Terenez Bridge
The Terenez Bridge is a modern cable-stayed bridge in Brittany, France, renowned for its elegant curved design and advanced engineering.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e634393b8081909f5e4c38b2f1a9b7 |
completed | April 20, 2026, 2:12 p.m. |
Created at: April 10, 2026, 1:39 p.m.