Triple
T4776893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeocomico Church |
E106072
|
entity |
| Predicate | predecessorBuildingDate |
P59253
|
FINISHED |
| Object | circa 1655 |
—
|
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: circa 1655 | Statement: [Yeocomico Church, predecessorBuildingDate, circa 1655]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorBuildingDate Context triple: [Yeocomico Church, predecessorBuildingDate, circa 1655]
-
A.
constructionDate
Indicates the date on which an entity (such as a building or structure) was constructed or completed.
-
B.
buildingUsedSince
Indicates that a particular building has been in use starting from a specified point in time.
-
C.
buildingInaugurationDate
Indicates the date on which a building was formally opened or inaugurated.
-
D.
originalBuildingConstructed
Indicates that a particular building was initially constructed in its original form or configuration.
-
E.
cededYear
Indicates the year in which control, ownership, or sovereignty over something was formally transferred from one party to another.
- F. None of above. chosen
Provenance (4 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6922407481908565ed0b1dac2b30 |
completed | March 20, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:21 p.m.