Triple
T17310881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IJlst |
E420289
|
entity |
| Predicate | distanceToLeeuwarden |
P126923
|
FINISHED |
| Object | about 30 km southwest |
—
|
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: about 30 km southwest | Statement: [IJlst, distanceToLeeuwarden, about 30 km southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLeeuwarden Context triple: [IJlst, distanceToLeeuwarden, about 30 km southwest]
-
A.
distanceToAmsterdam
Indicates the spatial distance between a given location and the city of Amsterdam.
-
B.
distanceToRotterdam
Indicates the measured distance between a given entity’s location and the city of Rotterdam.
-
C.
distanceToUtrecht
Indicates the spatial distance between a given entity and the location of Utrecht.
-
D.
distanceToLeidenCentraal
Indicates the spatial distance between a given location and Leiden Centraal station.
-
E.
distanceToLeiden
Indicates the measured spatial distance between a given entity and the location Leiden.
- F. None of above. chosen
Provenance (4 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399837b08190b7cf74201b3cb013 |
completed | April 19, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.