Triple
T14963878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vecht (Utrecht) |
E373135
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Utrechtse Vecht |
E325194
|
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: Utrechtse Vecht | Statement: [Vecht (Utrecht), alsoKnownAs, Utrechtse Vecht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utrechtse Vecht Context triple: [Vecht (Utrecht), alsoKnownAs, Utrechtse Vecht]
-
A.
Stichtse Vecht
Stichtse Vecht is a municipality in the central Netherlands known for its historic river estates and villages along the river Vecht.
-
B.
Vecht
chosen
The Vecht is a Dutch river known for flowing through the province of Utrecht past historic towns, castles, and scenic landscapes before reaching the IJsselmeer.
-
C.
Vecht
The Vecht is a river in the eastern Netherlands and western Germany known for flowing through the province of Overijssel and into the IJsselmeer.
-
D.
Diksmuide
Diksmuide is a historic town in western Belgium known for its World War I battlefields and memorials, particularly the Yser Tower.
-
E.
Geuzenveld
Geuzenveld is a residential neighborhood in the western part of Amsterdam, developed as part of the city’s mid-20th-century urban expansion.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6d0487c8190b7754af8c5014b37 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969112d8819094e5d81a8ffa3b8a |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:40 a.m.