Triple
T14262573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heul |
E353558
|
entity |
| Predicate | hasDutchName |
P744
|
FINISHED |
| Object | Heul |
E353558
|
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: Heul | Statement: [Heul, hasDutchName, Heul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heul Context triple: [Heul, hasDutchName, Heul]
-
A.
Heul
chosen
Heul is a small waterway in the Westland region of South Holland in the Netherlands, historically associated with the village of Kwintsheul and its surrounding polder landscape.
-
B.
Helkant
Helkant is a small village in the Dutch municipality of Drimmelen in the province of North Brabant.
-
C.
Hutthurm
Hutthurm is a municipality in the Bavarian region of southeastern Germany, situated near the city of Passau.
-
D.
Venusberg
Venusberg is a satirical early novel by British author Anthony Powell, set in a fictional Central European country and exploring the foibles of expatriate society.
-
E.
Venusberg
Venusberg is the mythical subterranean realm of the goddess Venus, often depicted in European legend and art as a hedonistic, enchanted mountain of sensual delights and temptation.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de63563fc88190b0abdbf8529c65eb |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d150b188190a0858ab94f81d9a8 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:09 a.m.