Triple
T3789337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goeree-Overflakkee |
E89605
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Melissant |
E74570
|
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: Melissant | Statement: [Goeree-Overflakkee, contains, Melissant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melissant Context triple: [Goeree-Overflakkee, contains, Melissant]
-
A.
Melissant
chosen
Melissant is a small village in the Dutch province of South Holland, located on the island of Goeree-Overflakkee.
-
B.
Vaudesir
Vaudésir is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing some of its most refined and age-worthy Chardonnay wines.
-
C.
Vavin
Vavin is a Paris Métro station in the 6th arrondissement, serving the Montparnasse and Jardin du Luxembourg area.
-
D.
La Marsa
La Marsa is a coastal suburb of Tunis in northern Tunisia, known for its beaches, upscale residential areas, and historic seaside charm.
-
E.
Monthélie
Monthélie is a small wine-producing village in Burgundy’s Côte de Beaune, known for its elegant red and white wines made primarily from Pinot Noir and Chardonnay.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee76570b481909c26d47a3251b180 |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503eef20c8190ad7906275b4b0e67 |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:15 p.m.