Triple
T37766473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinclairs of Orkney |
E941426
|
entity |
| Predicate | historicallyHolds |
P203633
|
FINISHED |
| Object | lands in Orkney |
—
|
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: lands in Orkney | Statement: [Sinclairs of Orkney, historicallyHolds, lands in Orkney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyHolds Context triple: [Sinclairs of Orkney, historicallyHolds, lands in Orkney]
-
A.
hasHistoricBasisIn
Indicates that something is grounded in, derived from, or justified by historical events, practices, or precedents.
-
B.
hasHistoricity
Indicates that something possesses historical existence, significance, or authenticity, rather than being purely fictional, mythical, or timeless.
-
C.
historicallyGuardedBy
Indicates that an entity was protected or defended by another entity during a past historical period.
-
D.
hasHistoricalEntity
Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
-
E.
historicallyIn
Indicates that one entity existed, occurred, or was situated within the historical context, period, or jurisdiction associated with another entity.
- 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a01b935e3948190a7af37b07938d618 |
completed | May 11, 2026, 11:10 a.m. |
| PD | Predicate disambiguation | batch_6a01b8d198b48190b01e16ac9ce7e7bd |
completed | May 11, 2026, 11:09 a.m. |
| PDg | Predicate description generation | batch_6a01b9353e4c8190991c80e7c01a015b |
completed | May 11, 2026, 11:10 a.m. |
Created at: May 3, 2026, 4:19 p.m.