Triple
T13103216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Ronde Venen |
E310770
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Abcoude |
E153679
|
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: Abcoude | Statement: [De Ronde Venen, contains, Abcoude]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abcoude Context triple: [De Ronde Venen, contains, Abcoude]
-
A.
Abcoude
chosen
Abcoude is a village in the Dutch province of Utrecht, just southeast of Amsterdam, known for its historic center and convenient rail connections.
-
B.
Bielle
Bielle is a small traditional village in southwestern France’s Ossau Valley, known for its pastoral Pyrenean setting and historic rural architecture.
-
C.
Abondance
Abondance is a traditional alpine village in the French Haute-Savoie region, renowned for its namesake cheese and picturesque mountain setting.
-
D.
Abondance
Abondance is a Cubist painting by French artist Henri Le Fauconnier, recognized for its bold geometric forms and vibrant, fragmented depiction of figures and space.
-
E.
Houffalize
Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98153255c8190b6ab64ac0c4716f8 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d61d88888190bfc631b759f14598 |
completed | May 3, 2026, 4:59 a.m. |
Created at: April 9, 2026, 9:04 p.m.