Triple
T5560355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franeker University |
E145749
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Franeker |
E112857
|
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: Franeker | Statement: [Franeker University, locatedIn, Franeker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franeker Context triple: [Franeker University, locatedIn, Franeker]
-
A.
Franeker
chosen
Franeker is a historic university town in the Dutch province of Friesland, known for its well-preserved medieval center and the famous Eise Eisinga Planetarium.
-
B.
Lenola
Lenola is a small Italian town in the Lazio region, known for its historic hilltop setting and scenic views over the surrounding countryside.
-
C.
Bridgewater
Bridgewater is a town in Tasmania, Australia, situated on the banks of the Derwent River and known as a residential and transport hub north of Hobart.
-
D.
Scituate
Scituate is a coastal town in Plymouth County, Massachusetts, known for its historic harbor, beaches, and maritime character on the state's South Shore.
-
E.
Scituate
Scituate is a rural town in central Rhode Island known for its reservoirs, woodlands, and historic New England character.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201857848190a5443b51bcdb63fa |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c028424ddc8190869b530a8eb43f50 |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:36 p.m.