Triple
T18027204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squire 'Red' Will Danaher |
E431284
|
entity |
| Predicate | isLandownerOf |
P9016
|
FINISHED |
| Object | property in Inisfree |
—
|
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: property in Inisfree | Statement: [Squire 'Red' Will Danaher, isLandownerOf, property in Inisfree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLandownerOf Context triple: [Squire 'Red' Will Danaher, isLandownerOf, property in Inisfree]
-
A.
ownsOrLeases
Indicates that one entity has legal rights to use or control another entity either through ownership or through a lease agreement.
-
B.
hasLandStatus
Indicates that an entity possesses a particular legal or administrative status regarding land (such as ownership, tenure, protection, or use designation).
-
C.
hasLandholdingsIn
Indicates that an entity owns or controls land or property located within a specified geographic area.
-
D.
ownsPropertyIn
chosen
Indicates that one entity possesses legal ownership rights over property located within a specified place or jurisdiction.
-
E.
landholderIn
Indicates that one entity holds legal or recognized ownership or tenancy rights over land located within the jurisdiction or bounds of 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c7be308190af0d77c0df6d94ce |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:24 a.m.