Triple
T3388782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zuidland |
E71366
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Spijkenisse |
E70497
|
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: Spijkenisse | Statement: [Zuidland, locatedNear, Spijkenisse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spijkenisse Context triple: [Zuidland, locatedNear, Spijkenisse]
-
A.
Spijkenisse
chosen
Spijkenisse is a town and former municipality in the western Netherlands, now part of the municipality of Nissewaard and known as a suburban area near Rotterdam.
-
B.
De Kwakel
De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
-
C.
Veermansplaat
Veermansplaat is a small, uninhabited island and nature area located in the Grevelingen estuary in the southwestern Netherlands.
-
D.
Meekknoken
Meekknoken is the highest peak on the island of Averøya in Norway, known as its most prominent natural elevation.
-
E.
Herwijnen
Herwijnen is a village in the Dutch province of Gelderland, known as a small rural community along the River Waal.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb665c6008190b33994ef20f5bd61 |
completed | March 8, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33458130881908a2b47abd91f4ea8 |
completed | March 12, 2026, 9:47 p.m. |
Created at: March 8, 2026, 3:14 p.m.