Triple
T15623365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stay |
E375619
|
entity |
| Predicate | titleImplies |
P119464
|
FINISHED |
| Object | requestNotToLeave |
—
|
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: requestNotToLeave | Statement: [Stay, titleImplies, requestNotToLeave]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleImplies Context triple: [Stay, titleImplies, requestNotToLeave]
-
A.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
B.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
C.
titles
Indicates that one entity holds a formal title, designation, or name associated with another entity.
-
D.
titleThrough
Indicates a relationship where one entity holds or is identified by a specific title by means of, or via the mediation of, another entity or context.
-
E.
titleIIFocus
Indicates that the primary focus or subject of a Title II–related provision, requirement, or classification is the referenced entity.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9cfd94819091459aa17a002eaf |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:14 a.m.