Triple
T27028654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norris-LaGuardia Act |
E680855
|
entity |
| Predicate | strengthensRight |
P3261
|
FINISHED |
| Object | right of workers to form labor unions |
—
|
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: right of workers to form labor unions | Statement: [Norris-LaGuardia Act, strengthensRight, right of workers to form labor unions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strengthensRight Context triple: [Norris-LaGuardia Act, strengthensRight, right of workers to form labor unions]
-
A.
strengthens
chosen
Indicates that one entity increases the power, effectiveness, or resilience of another.
-
B.
strengthensFrom
Indicates that one entity becomes stronger, more effective, or more intense as a result of influence, support, or input from another entity.
-
C.
strongerAt
Indicates that one entity has greater strength, power, or effectiveness than another in a specified context, condition, or domain.
-
D.
strongerDuring
Indicates that one entity exhibits greater strength or intensity than another specifically during a given time period or event.
-
E.
strengthenedAfter
Indicates that one entity becomes stronger or more robust as a result of something that occurs after a specified event or condition involving another entity.
- 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f625411c14819086492062e86ba8d5 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 7:12 a.m.