Triple
T8641507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elst (Brakel) |
E204659
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Elst |
E204659
|
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: Elst | Statement: [Elst (Brakel), hasNameInLanguage, Elst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elst Context triple: [Elst (Brakel), hasNameInLanguage, Elst]
-
A.
Elst
chosen
Elst is a village in the Dutch municipality of Brakel, known as a small rural settlement in the province of Gelderland in the Netherlands.
-
B.
Elswit
Elswit is the surname of Robert Elswit, an acclaimed American cinematographer known for his work on films such as "There Will Be Blood."
-
C.
Elsenz
The Elsenz is a river in southwestern Germany that flows through the Kraichgau region before joining the Neckar.
-
D.
Léaz
Léaz is a small French commune located in eastern France near the Swiss border, within the Ain department.
-
E.
Reynst
Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4795b07081908bfc9ebf35a50f07 |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc3b1f508190978df29d995f494c |
completed | April 2, 2026, 6:58 p.m. |
Created at: March 30, 2026, 6:28 p.m.