Triple
T19624478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barra Head Lighthouse |
E471097
|
entity |
| Predicate | hasKeeperAccommodation |
P25117
|
FINISHED |
| Object | yes (now disused) |
—
|
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: yes (now disused) | Statement: [Barra Head Lighthouse, hasKeeperAccommodation, yes (now disused)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeeperAccommodation Context triple: [Barra Head Lighthouse, hasKeeperAccommodation, yes (now disused)]
-
A.
hasAccommodation
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
-
B.
hasKeeperHouse
chosen
Indicates that an entity is associated with or assigned to a specific keeper’s house or residence.
-
C.
hasGuestHouse
Indicates that one entity owns, includes, or is associated with a guest house in relation to another entity.
-
D.
hasDayLodge
Indicates that a location or facility includes or is associated with a day-use lodge building or area.
-
E.
hasLodgeType
Indicates that an entity is associated with or classified by a particular type or category of lodge.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e92ff48190ae6e6ba2c603d5e7 |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.