Triple
T19566819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fluberg |
E489603
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Hov |
—
|
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: Hov | Statement: [Fluberg, locatedNear, Hov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hov Context triple: [Fluberg, locatedNear, Hov]
-
A.
Hov
Hov is a small village on the Faroe Islands' southernmost island of Suðuroy, known for its coastal setting and traditional Faroese character.
-
B.
Hov
Hov is a small coastal village on the island of Gimsøya in Norway’s Lofoten archipelago, known for its scenic beaches, golf course, and views of the midnight sun and Northern Lights.
-
C.
Hov
chosen
Hov is a small village in Innlandet county, Norway, serving as the main local hub for services and commerce in the Søndre Land area.
-
D.
Ha-Hov
Ha-Hov is an Israeli thriller film that follows Mossad agents confronting the consequences of a past mission to capture a Nazi war criminal.
-
E.
Hoz
Hoz is a Hebrew surname most notably associated with Dov Hoz, a prominent early Zionist leader and one of the founders of the Haganah.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f784ff88190a515c78429de3caf |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.