Triple
T13103277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Kwakel |
E310771
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kudelstaart |
E671537
|
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: Kudelstaart | Statement: [De Kwakel, locatedNear, Kudelstaart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kudelstaart Context triple: [De Kwakel, locatedNear, Kudelstaart]
-
A.
Kudelstaart
chosen
Kudelstaart is a village in the Dutch province of North Holland, known for its location on the Westeinderplassen lake and its role in regional horticulture and water sports.
-
B.
Zebilla
Zebilla is a town in Ghana’s Upper East Region that serves as a local commercial and administrative center.
-
C.
Kikapú
Kikapú is an Algonquian language traditionally spoken by the Kickapoo people in parts of the United States and Mexico.
-
D.
Kodo
Kodo is the main lecture and assembly hall of the historic Yakushi-ji Buddhist temple in Nara, Japan.
-
E.
Kesten
Kesten is a surname most notably associated with Harry Kesten, a prominent mathematician known for his work in probability theory.
- 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.