Triple
T10764371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitlycke Museum |
E253914
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tanum |
E51740
|
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: Tanum | Statement: [Vitlycke Museum, locatedIn, Tanum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanum Context triple: [Vitlycke Museum, locatedIn, Tanum]
-
A.
Tanum
chosen
Tanum is a municipality in western Sweden’s Västra Götaland County, known for its UNESCO-listed Bronze Age rock carvings at Tanum World Heritage Site.
-
B.
Daun
Daun is the noble family name of Leopold Joseph von Daun, an 18th-century Austrian field marshal noted for his role in the Seven Years' War.
-
C.
Marum
Marum is a former municipality in the Dutch province of Groningen that became part of the larger municipality of Westerkwartier after an administrative reorganization.
-
D.
Marum
Marum is one of the main active volcanic craters on Ambrym Island in Vanuatu, known for its persistent lava lake and dramatic eruptions.
-
E.
Tayauh
Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a504948190943f0e27c0d891ed |
completed | April 9, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84b88ba08190afddea2976d12465 |
completed | April 14, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:16 p.m.