Triple
T7115911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equal Rights Amendment |
E165818
|
entity |
| Predicate | requiredNumberOfStatesForRatification |
P48019
|
FINISHED |
| Object | 38 |
—
|
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: 38 | Statement: [Equal Rights Amendment, requiredNumberOfStatesForRatification, 38]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiredNumberOfStatesForRatification Context triple: [Equal Rights Amendment, requiredNumberOfStatesForRatification, 38]
-
A.
ratificationThreshold
chosen
Indicates the minimum level of approval or support required for a proposal, agreement, or decision to be formally ratified.
-
B.
treatyRatificationThreshold
Indicates the minimum level of approval or support required for a treaty to be formally ratified or come into legal effect.
-
C.
requiredRatificationOf
Indicates that one entity’s decision, agreement, or action must be formally approved or confirmed by another specified entity in order to take effect.
-
D.
stateOfFirstRatification
Indicates the state in which an agreement, treaty, or document was first formally ratified.
-
E.
ratificationOrder
Indicates the sequence or priority in which ratifications of an agreement, treaty, or decision are made or recognized.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5f401b881909ef4c2ab1e0750db |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.