Triple
T12405994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dedworth |
E296386
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object | Spital |
E666778
|
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: Spital | Statement: [Dedworth, hasNearbyArea, Spital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spital Context triple: [Dedworth, hasNearbyArea, Spital]
-
A.
Spital
chosen
Spital is a suburban village and residential area on the Wirral Peninsula in Merseyside, England.
-
B.
Spittal
Spittal is a residential neighbourhood within the town of Rutherglen in South Lanarkshire, Scotland.
-
C.
Fallingbostel
Fallingbostel is a town in Lower Saxony, Germany, historically known for its military installations and role as a British Army garrison location after World War II.
-
D.
Kloster
Kloster is a village and former monastic site on the Baltic Sea island of Hiddensee in Germany, known for its scenic coastal setting and cultural heritage.
-
E.
Spaeny
Spaeny is the surname of American actress and singer Cailee Spaeny, known for her roles in films like "Pacific Rim: Uprising" and "Priscilla."
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d48f1908190918551c794f98fe3 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63486d1b881908d94218d2c391123 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.