Triple
T34103773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gliding Over All |
E874643
|
entity |
| Predicate | marksTurningPointIn |
P676
|
FINISHED |
| Object | DEA investigation into Heisenberg |
—
|
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: DEA investigation into Heisenberg | Statement: [Gliding Over All, marksTurningPointIn, DEA investigation into Heisenberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marksTurningPointIn Context triple: [Gliding Over All, marksTurningPointIn, DEA investigation into Heisenberg]
-
A.
marksOn
Indicates that one entity bears visible signs, traces, or imprints that have been made or left by another entity.
-
B.
turningPointIn
chosen
Indicates that an event or situation serves as a decisive change or pivotal moment within a larger process, narrative, or development.
-
C.
marker
Indicates a relationship where one entity serves as a sign, label, or indicator that identifies, distinguishes, or signals a property or status of another entity.
-
D.
marksDetermine
Indicates that one entity’s marks or scores determine or decisively influence the outcome, status, or classification of another entity.
-
E.
marksMeetingPointOf
Indicates that something designates or identifies the specific location where two or more entities meet or converge.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c6f50cc8190a2b1aedba02e1b0e |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:53 a.m.