Triple
T1162887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gigha |
E24532
|
entity |
| Predicate | hasOwnershipModel |
P21682
|
FINISHED |
| Object | community-owned estate |
—
|
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: community-owned estate | Statement: [Gigha, hasOwnershipModel, community-owned estate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOwnershipModel Context triple: [Gigha, hasOwnershipModel, community-owned estate]
-
A.
hasAccessModel
Indicates that one entity is permitted to use, interact with, or retrieve a particular model controlled by another entity or system.
-
B.
hasModelType
Indicates that an entity is associated with or classified under a specific model type.
-
C.
hasFranchiseModel
Indicates that one entity operates under, offers, or is associated with a business franchise system or structure defined by another entity.
-
D.
ownershipModel
chosen
Indicates the type or structure of ownership relationship that governs how control, rights, or shares are held between entities.
-
E.
hasAccessTo
Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcb2bb84819088bd94e91c10fb0c |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb525b648190adcb7a29256d3c41 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:45 p.m.