Triple
T5100306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Down |
E114965
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Holywood |
E402673
|
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: Holywood | Statement: [Down, contains, Holywood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holywood Context triple: [Down, contains, Holywood]
-
A.
Holywood
chosen
Holywood is a coastal town in County Down, Northern Ireland, situated on the shores of Belfast Lough and known for its historic churches and affluent residential character.
-
B.
Holybourne
Holybourne is a small village in Hampshire, England, situated just outside the market town of Alton.
-
C.
Guildwood
Guildwood is a residential lakeside neighbourhood in the eastern part of Toronto, Ontario, known for its scenic bluffs, parkland, and planned community layout.
-
D.
Bordon
Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
-
E.
Stonehouse
Stonehouse is a village in South Lanarkshire, Scotland, known for its historic conservation area and rural 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd758381dc8190ac491788d27ab8e0 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba8977f481908b0d55a9cd28d492 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:40 p.m.