Triple
T4609023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inchcape |
E100507
|
entity |
| Predicate | hasAssociatedEngineeringWork |
P56793
|
FINISHED |
| Object | construction of Bell Rock Lighthouse |
—
|
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: construction of Bell Rock Lighthouse | Statement: [Inchcape, hasAssociatedEngineeringWork, construction of Bell Rock Lighthouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedEngineeringWork Context triple: [Inchcape, hasAssociatedEngineeringWork, construction of Bell Rock Lighthouse]
-
A.
hasEngineeringBy
Indicates that something is designed, planned, or constructed by a specified engineer or engineering entity.
-
B.
hasEngineeringSignificance
Indicates that something holds notable importance, impact, or relevance within an engineering context or for engineering activities.
-
C.
hasWorkOn
chosen
Indicates that one entity is associated with, contributes to, or performs work on another entity (such as a project, task, or artifact).
-
D.
hasWorkDedicatedTo
Indicates that one entity has a work (such as a book, artwork, or composition) that is formally dedicated to another entity.
-
E.
includedWorkOn
Indicates that one entity contains, features, or incorporates another entity as a work or component within it.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599f08d88190ad4bed8bafb592cd |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.