Triple
T19375662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pemaquid Archeological Site |
E484659
|
entity |
| Predicate | laterOccupationPeriod |
P125671
|
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: [Pemaquid Archeological Site, laterOccupationPeriod, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterOccupationPeriod Context triple: [Pemaquid Archeological Site, laterOccupationPeriod, 17th century]
-
A.
laterOccupationApproxDate
chosen
Indicates an approximate date or time period when a subject began a subsequent occupation or role after an earlier one.
-
B.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
-
C.
timePeriodOfEarlierOccupation
Indicates that one entity specifies the time span during which another entity was previously occupied or held a position before a later occupation.
-
D.
earliestOccupationPeriod
Indicates the time period during which an entity was first occupied or used, before any later occupation periods.
-
E.
occupationBeganAfter
Indicates that one entity’s occupation or job role started at a later time than another specified event or occupation.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5c05c08190b91cb32fdb79813b |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.