Triple
T20904669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Nicholas Chapel |
E514761
|
entity |
| Predicate | usedAsLighthouseSince |
P46987
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [St Nicholas Chapel, usedAsLighthouseSince, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsLighthouseSince Context triple: [St Nicholas Chapel, usedAsLighthouseSince, 17th century]
-
A.
lighthouseBuiltIn
Indicates that a lighthouse was constructed or established in a specific location or during a specific time period.
-
B.
hasLightHouse
Indicates that one place or structure possesses, contains, or is associated with a lighthouse.
-
C.
lighthouseAutomated
Indicates that a lighthouse operates automatically without the need for on-site human keepers.
-
D.
lighthouseStatus
Indicates the operational condition or state (e.g., active, inactive, under maintenance) of a lighthouse at a given time.
-
E.
areUsedSince
chosen
Indicates that entities have been in use continuously starting from a specified point in time.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8ff36488190987ecdfcbed4220c |
completed | April 21, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:47 p.m.