Triple
T7852181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirta |
E182081
|
entity |
| Predicate | distanceFromScottishMainland |
P5691
|
FINISHED |
| Object | over 60 kilometres west of Benbecula area |
—
|
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: over 60 kilometres west of Benbecula area | Statement: [Hirta, distanceFromScottishMainland, over 60 kilometres west of Benbecula area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromScottishMainland Context triple: [Hirta, distanceFromScottishMainland, over 60 kilometres west of Benbecula area]
-
A.
distanceToOuterHebrides
Indicates the measured distance between a given entity’s location and the Outer Hebrides.
-
B.
distanceToLerwickKilometers
Indicates the physical distance, measured in kilometers, between a given entity’s location and the town of Lerwick.
-
C.
distanceFromMainland
chosen
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
D.
distanceToTristanDaCunha
Indicates the spatial distance between a given entity and Tristan da Cunha.
-
E.
distanceToSaintHelena
Indicates the measured distance between a given entity and the location of Saint Helena.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18ec48548190960bd564a60effa8 |
completed | March 31, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:51 p.m.