Triple
T7478912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude Moore Colonial Farm |
E176700
|
entity |
| Predicate | yearClosed |
P19867
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Claude Moore Colonial Farm, yearClosed, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearClosed Context triple: [Claude Moore Colonial Farm, yearClosed, 2018]
-
A.
closureYear
chosen
Indicates the year in which an entity (such as an organization, facility, or service) ceased operations or was officially closed.
-
B.
officialOpeningYear
Indicates the calendar year in which something was formally opened or inaugurated for official use.
-
C.
wasDissolvedAfter
Indicates that one entity ceased to exist or operate at a later point in time than another entity’s dissolution.
-
D.
closedFor
Indicates that an entity is not available or accessible for use, entry, or operation during a specified time, condition, or reason.
-
E.
decommissionedDate
Indicates the date on which an entity was formally taken out of service or retired from active use.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4f13f548190a8cc59165735b30e |
completed | March 27, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:42 p.m.