Triple
T10071890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voorne-Putten |
E213647
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Zuidland |
E71366
|
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: Zuidland | Statement: [Voorne-Putten, hasTown, Zuidland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zuidland Context triple: [Voorne-Putten, hasTown, Zuidland]
-
A.
Zuidland
chosen
Zuidland is a village in the western Netherlands, located in the province of South Holland.
-
B.
Hollandia
Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
-
C.
Hollandia
Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
-
D.
Noordereiland
Noordereiland is a densely built river island and residential neighborhood in the Nieuwe Maas in Rotterdam, known for its historic character and strategic location between the city center and the southern bank.
-
E.
Westeinde
Westeinde is a small settlement in the municipality of Westerveld in the Dutch province of Drenthe.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd01279388190b94c8def00425c78 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29aaa61308190b134b49a6c1c1131 |
completed | April 5, 2026, 5:23 p.m. |
Created at: March 30, 2026, 8:59 p.m.