Triple
T20365850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slate Islands |
E496905
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Seil |
E388826
|
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: Seil | Statement: [Slate Islands, hasPart, Seil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seil Context triple: [Slate Islands, hasPart, Seil]
-
A.
Seil
chosen
Seil is a small inhabited island in the Inner Hebrides of Scotland, known for its historic slate quarrying and its road bridge connection to the mainland.
-
B.
Sulien
Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
-
C.
Seille
Seille is a river in eastern France that flows through the regions of Jura and Saône-et-Loire before joining the Saône.
-
D.
Siele
Siele is a small locality that forms part of the municipality of Enger in North Rhine-Westphalia, Germany.
-
E.
Slinge
Slinge is a metro station in Rotterdam, Netherlands, serving as a key southern endpoint and transport hub in the city's metro network.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67871bfdc8190948c46497cd675c9 |
completed | April 20, 2026, 7:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087089e0408190be8394376cdec110 |
completed | May 16, 2026, 1:26 p.m. |
Created at: April 16, 2026, 11:26 a.m.