Triple
T8466755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knights of Labor |
E200181
|
entity |
| Predicate | peak membership year |
P4349
|
FINISHED |
| Object | 1886 |
—
|
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: 1886 | Statement: [Knights of Labor, peak membership year, 1886]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peak membership year Context triple: [Knights of Labor, peak membership year, 1886]
-
A.
membershipPeakYear
chosen
Indicates the year in which an entity’s membership count reached its highest level.
-
B.
peakYear
Indicates the year in which something reached its highest or most significant level, performance, or prominence.
-
C.
activeYearsPeak
Indicates the span of years during which an entity was at the height of its activity or prominence.
-
D.
membershipPeak
Indicates the time or period at which an entity’s membership in a group or organization reaches its highest level.
-
E.
membershipEra
Indicates the time period or era during which an entity holds or held membership in a group or organization.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d2eb648190b606411eb6a8f7ea |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.