Triple
T10967229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potsdam, New York |
E259132
|
entity |
| Predicate | hasHistoricMaterial |
P45164
|
FINISHED |
| Object | Potsdam sandstone |
—
|
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: Potsdam sandstone | Statement: [Potsdam, New York, hasHistoricMaterial, Potsdam sandstone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricMaterial Context triple: [Potsdam, New York, hasHistoricMaterial, Potsdam sandstone]
-
A.
hasHistoricalOccupationMaterial
chosen
Indicates that something is composed of or contains material evidence related to past occupations or uses by people.
-
B.
hasHistoricMP
Indicates that an entity is or has been represented by a specific Member of Parliament at some point in the past.
-
C.
hasHistoricFeatures
Indicates that something possesses characteristics, elements, or attributes of historical significance.
-
D.
hasHistoricalEntity
Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
-
E.
hasHistoricMarker
Indicates that something is associated with or identified by an official historic marker or plaque recognizing its historical significance.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7714ab8588190874289f84a132fe1 |
completed | April 9, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:24 p.m.