Triple
T27438879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noordwijkerhout |
E690867
|
entity |
| Predicate | distanceToLeiden_km |
P77885
|
FINISHED |
| Object | approximately 12 |
—
|
LITERAL 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: approximately 12 | Statement: [Noordwijkerhout, distanceToLeiden_km, approximately 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLeiden_km Context triple: [Noordwijkerhout, distanceToLeiden_km, approximately 12]
-
A.
distanceToLeiden
chosen
Indicates the measured spatial distance between a given entity and the location Leiden.
-
B.
distanceToLeidenCentraal
Indicates the spatial distance between a given location and Leiden Centraal station.
-
C.
distanceToGroningenCity_km
Indicates the physical distance, measured in kilometers, between a given location and the city of Groningen.
-
D.
distanceToLeeuwarden
Indicates the spatial distance between a given entity and the location of Leeuwarden.
-
E.
distanceToAmsterdam
Indicates the spatial distance between a given location and the city of Amsterdam.
- F. None of above.
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_69ef5200fa0481908e28508d6e2c149e |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69ff65987ff88190b09be64f7c0e1da9 |
completed | May 9, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69ff6525b0548190bef7a9f009e00bb8 |
completed | May 9, 2026, 4:47 p.m. |
Created at: April 27, 2026, 12:44 p.m.