Triple
T26489751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Møllehøj |
E669122
|
entity |
| Predicate | distanceToYdingSkovhøj |
P196617
|
FINISHED |
| Object | approximately 3 kilometres |
—
|
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 3 kilometres | Statement: [Møllehøj, distanceToYdingSkovhøj, approximately 3 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToYdingSkovhøj Context triple: [Møllehøj, distanceToYdingSkovhøj, approximately 3 kilometres]
-
A.
distanceToEjerBavnehøj
Indicates the measured distance between a subject entity and Ejer Bavnehøj.
-
B.
distanceFromLongyearbyen
Indicates the measured distance between a given location and Longyearbyen.
-
C.
distanceToŚnieżka
Indicates the measured or calculated spatial distance from a given entity or location to Śnieżka.
-
D.
distanceToSkegness
Indicates the measured or calculated spatial distance between a given entity and the location Skegness.
-
E.
distanceToDenali
Indicates the measured or estimated spatial distance between a given entity and Denali.
- 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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fe5ec9028081909ae3d6fbe2f4cbbc |
completed | May 8, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69fe5e1d715881909fc516fafc707644 |
completed | May 8, 2026, 10:05 p.m. |
| PDg | Predicate description generation | batch_69fe5ec84910819094cb15269ace7c51 |
completed | May 8, 2026, 10:08 p.m. |
Created at: April 27, 2026, 1:02 a.m.