Triple
T13985634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanko beaches |
E336430
|
entity |
| Predicate | distanceFromHelsinki |
P21938
|
FINISHED |
| Object | about 130 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 130 km southwest | Statement: [Hanko beaches, distanceFromHelsinki, about 130 km southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromHelsinki Context triple: [Hanko beaches, distanceFromHelsinki, about 130 km southwest]
-
A.
distanceToHelsinki_km
chosen
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Helsinki.
-
B.
distanceToLappeenranta_km
Indicates the physical distance, measured in kilometers, between an entity and the city of Lappeenranta.
-
C.
distanceToTurku
Indicates the spatial distance between a given entity’s location and the city of Turku.
-
D.
distanceFromTallinn
Indicates the measured distance between a given place or object and the city of Tallinn.
-
E.
distanceToOulu_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Oulu.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea3e5a081908ed8ead108139252 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.