Triple
T23126974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time |
E577057
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Hå |
—
|
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: Hå | Statement: [Time, hasNeighbouringMunicipality, Hå]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hå Context triple: [Time, hasNeighbouringMunicipality, Hå]
-
A.
Hå
chosen
Hå is a coastal municipality in southwestern Norway known for its agricultural landscape, beaches, and location along the North Sea in Rogaland county.
-
B.
Haaga
Haaga is a residential district in western Helsinki, Finland, known for its parks, including the popular rhododendron garden, and good public transport connections.
-
C.
Hvam
Hvam is a small village in Nes municipality in Akershus county, Norway.
-
D.
Hain
Hain is an ancient, central world in Ursula K. Le Guin’s Hainish Cycle, often portrayed as the cradle of human-like civilizations across the galaxy.
-
E.
Haacht
Haacht is a municipality in the Flemish Brabant province of Belgium, known for its local brewery and semi-rural character near the city of Leuven.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e55aa38819092816ffc52e20dbe |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.