Triple
T5579205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stamp Act Congress |
E146598
|
entity |
| Predicate | reasonForMeeting |
P20908
|
FINISHED |
| Object | opposition to the Stamp Act of 1765 |
—
|
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: opposition to the Stamp Act of 1765 | Statement: [Stamp Act Congress, reasonForMeeting, opposition to the Stamp Act of 1765]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForMeeting Context triple: [Stamp Act Congress, reasonForMeeting, opposition to the Stamp Act of 1765]
-
A.
reasonForEvent
chosen
Indicates that one event occurs as a consequence of, or is motivated or explained by, another specified cause or reason.
-
B.
reasonForTime
Indicates that one entity provides the explanation or cause for a particular point or duration of time associated with another entity.
-
C.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
D.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
-
E.
notabilityReason
Indicates the specific cause, basis, or context for which an entity is considered notable or significant.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0206bfea08190aa2c8df9f88013ac |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b147cc081909237f3f2967d4cb8 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.