Triple
T32636924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fisgard Lighthouse |
E834367
|
entity |
| Predicate | attachedBuilding |
P174753
|
FINISHED |
| Object | keeper’s dwelling |
—
|
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: keeper’s dwelling | Statement: [Fisgard Lighthouse, attachedBuilding, keeper’s dwelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attachedBuilding Context triple: [Fisgard Lighthouse, attachedBuilding, keeper’s dwelling]
-
A.
containsBuilding
Indicates that one location or area includes a building within its boundaries.
-
B.
buildingIncorporatedInto
Indicates that one building has been structurally or functionally integrated into another building as part of a combined or expanded construction.
-
C.
isMainBuildingOf
Indicates that a building serves as the primary or central facility associated with a particular organization, complex, or site.
-
D.
buildingStructure
Indicates that one entity is a structural component or physical part that forms, supports, or constitutes the construction of another entity.
-
E.
refersToBuildingOn
Indicates that one entity explicitly references or designates a specific building as its subject or target.
- 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_69f3492dc2308190a88c6e30a3f3f576 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c7e32ec08190b74856937c4a9fc3 |
completed | May 3, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c77500a08190b2bdeca33bd2ac08 |
completed | May 3, 2026, 3:56 a.m. |
Created at: May 1, 2026, 1:07 a.m.