Triple
T8576803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitsap Peninsula |
E203066
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Allyn |
E255427
|
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: Allyn | Statement: [Kitsap Peninsula, hasCity, Allyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allyn Context triple: [Kitsap Peninsula, hasCity, Allyn]
-
A.
Allyn
chosen
Allyn is a small unincorporated waterfront community located on the shores of North Bay in Mason County, Washington.
-
B.
Alby
Alby is a residential suburban locality within Botkyrka Municipality in the Stockholm metropolitan area of Sweden.
-
C.
Alby
Alby is a small village located on the island of Öland in southeastern Sweden, known for its rural landscape and coastal surroundings within Mörbylånga Municipality.
-
D.
Allaine
The Allaine is a river in the Jura region of Switzerland and France that flows through towns such as Porrentruy before joining the Doubs.
-
E.
Arly
Arly is a river in southeastern France that flows through the town of Albertville in the Savoie region.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea97787481909ebbaa45f59cbdaa |
completed | March 31, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce899dd7d48190b44338b92ad68bd0 |
completed | April 2, 2026, 3:22 p.m. |
Created at: March 30, 2026, 6:21 p.m.