Triple
T14725066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Søndre Land |
E345916
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Hov |
E1115405
|
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: Hov | Statement: [Søndre Land, hasSettlement, Hov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hov Context triple: [Søndre Land, hasSettlement, 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
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.
-
C.
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.
-
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.
Hoitt
Hoitt is a surname that serves as an alternative spelling of the more common name Hoyt.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25e9a14819081fa06fc601f295d |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb8624bc8190b20441c2f5c4a2fa |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.