Triple
T1227641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarke House Museum |
E26361
|
entity |
| Predicate | locatedOnTimeAxis |
P8810
|
FINISHED |
| Object | American Revolutionary War era |
—
|
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: American Revolutionary War era | Statement: [Clarke House Museum, locatedOnTimeAxis, American Revolutionary War era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnTimeAxis Context triple: [Clarke House Museum, locatedOnTimeAxis, American Revolutionary War era]
-
A.
positionInTimeScale
chosen
Indicates the specific point or interval an event or state occupies within a defined temporal scale or timeline.
-
B.
timeCoordinateType
Indicates the specific temporal reference system or framework used to define and interpret time coordinates for an event or entity.
-
C.
chronologicalPosition
Indicates the relative ordering of one event or entity in time with respect to another.
-
D.
locatedAlong
Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
-
E.
locatedAfter
Indicates that one entity is positioned later than another along a defined sequence, order, or spatial/temporal axis.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be3b32a08190a36e96a3e51976eb |
completed | March 1, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69a4bb65d61c8190bf0424ea0019a98b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.