Triple
T32905723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Wentz Farmstead |
E841732
|
entity |
| Predicate | headquartersDate |
P175566
|
FINISHED |
| Object | October 1777 |
—
|
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: October 1777 | Statement: [Peter Wentz Farmstead, headquartersDate, October 1777]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headquartersDate Context triple: [Peter Wentz Farmstead, headquartersDate, October 1777]
-
A.
headquartersCompletionYear
Indicates the year in which an organization's headquarters building was completed.
-
B.
headquartersMovedOn
Indicates that the location of an entity’s headquarters changed on a specific date or point in time.
-
C.
headquartersLocationTime
Indicates the location where an entity’s headquarters is situated during a specified time period.
-
D.
headquartersFoundedAt
Indicates that an organization's headquarters was originally established at a specific location.
-
E.
headquartersPeriodEnd
Indicates the point in time when an entity’s role as a headquarters at a given location comes to an end.
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d210fc80819091ed8961aa2cddfb |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d16b79dc8190ab0d4657f2ef9a5b |
completed | May 3, 2026, 4:39 a.m. |
Created at: May 1, 2026, 1:19 a.m.