Triple
T1439984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butler Act |
E31047
|
entity |
| Predicate | trialYear |
P29330
|
FINISHED |
| Object | 1925 |
—
|
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: 1925 | Statement: [Butler Act, trialYear, 1925]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trialYear Context triple: [Butler Act, trialYear, 1925]
-
A.
trial
Indicates that an entity is the subject of a legal or formal judicial proceeding to determine guilt, liability, or resolution of a dispute.
-
B.
trialDate
Indicates the specific calendar date on which a legal trial or court proceeding is scheduled or took place.
-
C.
trialHeldIn
Indicates that a legal trial took place or was conducted within a specified location or jurisdiction.
-
D.
tradeYear
Indicates the specific calendar year in which a trade or commercial transaction took place or was recorded.
-
E.
claimedYear
Indicates the year that is asserted or reported as being associated with an event, status, or fact, regardless of whether it is verified.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c478f65481909ee716791c663491 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c5fd2c5c81909283b7a74aff89b7 |
completed | March 1, 2026, 11:04 p.m. |
Created at: March 1, 2026, 8 p.m.