Triple
T513984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Title IX of the Social Security Act |
E10665
|
entity |
| Predicate | implementedAtLevel |
P1417
|
FINISHED |
| Object | state |
—
|
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: state | Statement: [Title IX of the Social Security Act, implementedAtLevel, state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: implementedAtLevel Context triple: [Title IX of the Social Security Act, implementedAtLevel, state]
-
A.
implementedUnder
Indicates that an action, policy, or process is carried out within the scope, authority, or framework defined by a particular higher-level plan, rule, or governing entity.
-
B.
meetsAtLevel
Indicates that two or more entities encounter or interact with each other at a specific hierarchical, structural, or progression level.
-
C.
implementedThrough
chosen
Indicates that something is realized, carried out, or made operational by means of a specified method, mechanism, or intermediary.
-
D.
representedLevel
Indicates that one entity denotes or encodes the degree, intensity, or value (i.e., the level) of another entity or property.
-
E.
aimedToImplement
Indicates that an entity had the intention or plan to carry out, realize, or put another entity (such as a policy, idea, or system) into effect.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f232fa688190b08a2fe3f22c7a6e |
completed | Feb. 28, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69a2f013c05481909e6dc87e7b20ebd8 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.