Triple
T25177865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Urquhart of Craigfintray |
E630497
|
entity |
| Predicate | landedTitle |
P13335
|
FINISHED |
| Object | Craigfintray |
—
|
NE NERFINISHED |
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: Craigfintray | Statement: [Adam Urquhart of Craigfintray, landedTitle, Craigfintray]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landedTitle Context triple: [Adam Urquhart of Craigfintray, landedTitle, Craigfintray]
-
A.
landedFamily
Indicates a familial relationship where the family holds or is associated with ownership or control of landed property or estates.
-
B.
landedStatus
Indicates the current landing-related state or outcome of an entity, such as whether it has successfully landed, is in the process of landing, or has failed to land.
-
C.
hadTitle
chosen
Indicates that an entity held or was assigned a specific title or formal designation.
-
D.
aimedTitle
Indicates that one entity is the intended or targeted title or heading associated with another entity.
-
E.
crashLandedOn
Indicates that one entity made an unintended or uncontrolled landing onto the surface or location represented by another entity.
- 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46dc1ddd0819089722f45adc50d84 |
completed | May 1, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:35 p.m.