Triple
T540666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Lighthouse Service |
E12619
|
entity |
| Predicate | operatedInTimePeriod |
P802
|
FINISHED |
| Object | 20th 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: 20th century | Statement: [United States Lighthouse Service, operatedInTimePeriod, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedInTimePeriod Context triple: [United States Lighthouse Service, operatedInTimePeriod, 20th century]
-
A.
operatedDuring
chosen
Indicates that an action, process, or system was functioning or in operation throughout a specified time period or event.
-
B.
operatedAt
Indicates that an operation, procedure, or activity was performed at a specific location or facility.
-
C.
operatedFor
Indicates that one entity performed operations or provided services on behalf of, or in support of, another entity for a certain period or purpose.
-
D.
livedDuring
Indicates that the subject existed or was alive at some point within the time period or lifespan associated with the object.
-
E.
operatedBefore
Indicates that one entity performed an operation or action at an earlier time than 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985feee481908184a39210feab95 |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b67c308190a1a225ab7c4b74c6 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.