Triple
T16014737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indooroopilly |
E388435
|
entity |
| Predicate | stateElectorate |
P11212
|
FINISHED |
| Object | Maiwar |
E1128426
|
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: Maiwar | Statement: [Indooroopilly, stateElectorate, Maiwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maiwar Context triple: [Indooroopilly, stateElectorate, Maiwar]
-
A.
Maiwar
chosen
Maiwar is an electoral district of the Queensland Legislative Assembly in Brisbane, Australia.
-
B.
Sumoto
Sumoto is a coastal city located on Awaji Island in Japan, known for its hot springs, scenic views of the Seto Inland Sea, and citrus production.
-
C.
Amakusa
Amakusa is a group of islands and a city in Kumamoto Prefecture, Japan, known for its coastal scenery, historical Christian heritage, and fishing communities.
-
D.
Yugawara
Yugawara is a coastal hot spring resort town in Kanagawa Prefecture, Japan, known for its onsen, scenic seaside views, and proximity to the Hakone and Izu regions.
-
E.
Wajima
Wajima is a coastal city in Ishikawa Prefecture, Japan, renowned for its traditional Wajima-nuri lacquerware and historic morning market.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18293ec1081909248e366967850c0 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb867ae88190945af88247d4c80b |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:55 a.m.