Triple
T1440239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equal Employment Opportunity Commission |
E31052
|
entity |
| Predicate | mayFile |
P29335
|
FINISHED |
| Object | lawsuits in federal court |
—
|
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: lawsuits in federal court | Statement: [Equal Employment Opportunity Commission, mayFile, lawsuits in federal court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayFile Context triple: [Equal Employment Opportunity Commission, mayFile, lawsuits in federal court]
-
A.
mayHold
Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
-
B.
mayReportTo
Indicates that one entity is permitted or allowed to have a reporting relationship to another entity, such as an employee being allowed to report to a particular manager.
-
C.
mayRequest
Indicates that one entity is permitted or authorized to make a request to another entity or for a particular resource or action.
-
D.
mayResultIn
Indicates that one entity has the potential to cause, lead to, or bring about another entity or outcome, without guaranteeing that it will occur.
-
E.
mayAuthor
Indicates that an entity has the potential or permission to be the author of another entity (such as a work or document).
- 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.