Triple
T15018835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Binnenmaas |
E378028
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Greup |
E1086286
|
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: Greup | Statement: [Binnenmaas, hasPart, Greup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greup Context triple: [Binnenmaas, hasPart, Greup]
-
A.
Greup
chosen
Greup is a small village in the Dutch province of South Holland, formerly part of the municipality of Binnenmaas.
-
B.
Semailles
Semailles is a section of Alexandre Grothendieck’s autobiographical and philosophical manuscript "Récoltes et Semailles," reflecting his personal reflections on mathematics, life, and the mathematical community.
-
C.
Guruh
Guruh is an Indonesian musician, composer, and politician, best known as the son of Indonesia’s first president Sukarno and for his influential contributions to Indonesian pop and traditional music.
-
D.
Bourcains
Bourcains are the inhabitants of Bourg-lès-Valence, a commune in the Drôme department of southeastern France.
-
E.
Vaugier
Vaugier is the surname of Emmanuelle Vaugier, a Canadian actress and model known for roles in television series such as "Two and a Half Men" and "Smallville."
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded76445988190984b57de66e00c4a |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96af719881909906adfd6cb508aa |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:56 a.m.