Triple
T939631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grevelingendam |
E20274
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Bruinisse |
E104270
|
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: Bruinisse | Statement: [Grevelingendam, hasNearbySettlement, Bruinisse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruinisse Context triple: [Grevelingendam, hasNearbySettlement, Bruinisse]
-
A.
Bruinisse
chosen
Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
-
B.
Baïse
Baïse is a river in southwestern France that flows through the Occitanie and Nouvelle-Aquitaine regions before joining the Garonne.
-
C.
Zwartewaal
Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
-
D.
Spui
Spui is a central square and tram hub in Amsterdam, Netherlands, known for its bookstores, cultural venues, and proximity to historic canals.
-
E.
Egegik
Egegik is a dialect of the Central Alaskan Yup’ik language traditionally spoken in the Egegik region of southwestern Alaska.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b38b7da08190ac0853655dab678a |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a933a35f948190beecb14ab3c6ffd0 |
completed | March 5, 2026, 7:41 a.m. |
Created at: March 1, 2026, 7:40 p.m.