Triple
T6293910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watergeuzen |
E141085
|
entity |
| Predicate | captured |
P4236
|
FINISHED |
| Object | Brielle |
E97219
|
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: Brielle | Statement: [Watergeuzen, captured, Brielle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brielle Context triple: [Watergeuzen, captured, Brielle]
-
A.
Brielle
chosen
Brielle is a historic fortified town in the Dutch province of South Holland, known for its well-preserved medieval center and role in the Eighty Years' War.
-
B.
Rainelle
Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
-
C.
Bree
Bree is a central character in the science-fiction film "Transcendence," closely connected to the story’s exploration of artificial intelligence and technological ethics.
-
D.
Bree
Bree is a small city and municipality in the Belgian province of Limburg, known for its historic town center and rural surroundings.
-
E.
Sheelagh
Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06438654481908c9833c5f0d61773 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51988f1388190b36212b0d9756863 |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:27 p.m.