Triple
T1052912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Uist |
E22738
|
entity |
| Predicate | hasHighProportionOf |
P17855
|
FINISHED |
| Object | Gaelic speakers |
—
|
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: Gaelic speakers | Statement: [North Uist, hasHighProportionOf, Gaelic speakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighProportionOf Context triple: [North Uist, hasHighProportionOf, Gaelic speakers]
-
A.
hasProportion
Indicates that one entity stands in a specified ratio, fraction, or relative share to another entity or whole.
-
B.
hasHigh
chosen
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
-
C.
containsMostOf
Indicates that one entity includes the majority (but not necessarily all) of the substance, elements, or components of another entity.
-
D.
hasHighProfileOwnership
Indicates that an entity is owned, controlled, or significantly invested in by a prominent or high-profile individual or organization.
-
E.
officialProportion
Indicates the proportion or percentage of something as formally defined or reported by an official source or authority.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b644088190a1f0f00f97941298 |
completed | March 1, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69a4b731e25c8190b5ea8466648c2c9a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.