Triple
T34141110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tandsbyn |
E875720
|
entity |
| Predicate | geographicDirectionFromÖstersund |
P187598
|
FINISHED |
| Object | south |
—
|
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: south | Statement: [Tandsbyn, geographicDirectionFromÖstersund, south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicDirectionFromÖstersund Context triple: [Tandsbyn, geographicDirectionFromÖstersund, south]
-
A.
distanceFromStockholmCityCentre
Indicates the measured distance between a given location and the center of Stockholm city.
-
B.
directionFromReykjavík
Indicates the cardinal or relative compass direction in which one entity is located from Reykjavík.
-
C.
directionFromOslo
Indicates the cardinal or relative direction in which one location lies when measured from Oslo.
-
D.
roadDirectionFromNorseman
Indicates the direction or path that a road takes when starting from Norseman.
-
E.
nearCityOnSwedishSide
Indicates that one entity is located close to a specified city that lies on the Swedish side of a border or boundary.
- 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_69f349aaeef08190a20e72a3fdeb7052 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb6fdab95c81909acff3c6a2359787 |
completed | May 6, 2026, 4:44 p.m. |
Created at: May 1, 2026, 1:54 a.m.