Triple
T31559907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sutherland estate |
E805232
|
entity |
| Predicate | clearancesConsequence |
P812
|
FINISHED |
| Object | mass displacement of Gaelic-speaking tenants |
—
|
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: mass displacement of Gaelic-speaking tenants | Statement: [Sutherland estate, clearancesConsequence, mass displacement of Gaelic-speaking tenants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clearancesConsequence Context triple: [Sutherland estate, clearancesConsequence, mass displacement of Gaelic-speaking tenants]
-
A.
hasConsequence
chosen
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
B.
announcedConsequence
Indicates that one entity has publicly stated or declared a specific outcome or consequence that will result from an action, event, or condition.
-
C.
consequenceOfPolicies
Indicates the outcomes or effects that result from the implementation or existence of specific policies.
-
D.
consequenceOfRevocation
Indicates that something occurs as a direct result of a prior revocation event or decision.
-
E.
consequenceOfApplication
Indicates that something occurs as a result or outcome of a particular application or use of something.
- 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_69f348d22e088190ad555d5bd42f9da0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 10:14 p.m.