Triple
T26943564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echo |
E678578
|
entity |
| Predicate | experimentedOnBy |
P161352
|
FINISHED |
| Object | Techno Union |
—
|
NE NERFINISHED |
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: Techno Union | Statement: [Echo, experimentedOnBy, Techno Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: experimentedOnBy Context triple: [Echo, experimentedOnBy, Techno Union]
-
A.
experimentedOn
Indicates that one entity conducted experiments or tests on another entity as the subject of investigation.
-
B.
showedInExperiments
Indicates that something was demonstrated or observed to occur within the context of experiments.
-
C.
medicalExperimentsConductedBy
Indicates that medical experiments are performed, overseen, or carried out by a specified agent or organization.
-
D.
notableExperiment
Indicates that an entity is recognized for having conducted or been the subject of a particularly important or influential experiment.
-
E.
includesExperiment
Indicates that one entity contains or encompasses a specific experiment as part of its scope, composition, or content.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62082e298819088389b3bb529fb60 |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 27, 2026, 6:20 a.m.