Triple
T13611400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vecht |
E325194
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Vreeland |
E853102
|
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: Vreeland | Statement: [Vecht, hasNearbySettlement, Vreeland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vreeland Context triple: [Vecht, hasNearbySettlement, Vreeland]
-
A.
Vreeland
chosen
Vreeland is a surname of Dutch origin borne by various notable individuals in politics, fashion, and the arts.
-
B.
Voletta
Voletta is the first name of Voletta Wallace, best known as the mother of the late rapper The Notorious B.I.G.
-
C.
Tiptree
Tiptree is a human colony world in the Mass Effect universe known primarily as the birthplace of pilot Jeff "Joker" Moreau.
-
D.
Tiptree
Tiptree is a large village in Essex, England, best known for its jam production and the Wilkin & Sons preserves company.
-
E.
Vita & Virginia
Vita & Virginia is a 2018 biographical drama film that explores the romantic relationship between writers Vita Sackville-West and Virginia Woolf.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0aa9a1481908c6f92495aff86c6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9a9f9c81909b0a8f4f51c461ae |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.