Triple
T23158618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queenstown-Lakes District |
E578516
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Luggate |
—
|
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: Luggate | Statement: [Queenstown-Lakes District, containsSettlement, Luggate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luggate Context triple: [Queenstown-Lakes District, containsSettlement, Luggate]
-
A.
Luggate
chosen
Luggate is a small rural settlement in the Otago region of New Zealand’s South Island, located near the resort town of Wānaka.
-
B.
Lugait
Lugait is a coastal municipality in the Philippines located along the shores of Macajalar Bay in Northern Mindanao.
-
C.
Lagar
Lagar is a poetry collection by Chilean Nobel laureate Gabriela Mistral that reflects her mature, introspective, and often somber lyrical style.
-
D.
Maruggio
Maruggio is a small historic town and coastal municipality in the Apulia region of southern Italy, known for its traditional architecture and proximity to the Ionian Sea.
-
E.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efeddd48190b6d03d2146583dcc |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:02 p.m.