Triple
T29655249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warp Gate |
E750245
|
entity |
| Predicate | replacesTrainingQueue |
P185311
|
FINISHED |
| Object | Gateway training queue |
—
|
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: Gateway training queue | Statement: [Warp Gate, replacesTrainingQueue, Gateway training queue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacesTrainingQueue Context triple: [Warp Gate, replacesTrainingQueue, Gateway training queue]
-
A.
seeksToReplace
Indicates an intention or effort by one entity to take over the role, function, or position currently held by another entity.
-
B.
replacesInPractice
Indicates that one entity has effectively taken over the role, function, or use of another entity in real-world application or usage.
-
C.
replacedInQ7By
Indicates that an entity was superseded or substituted by another entity in version or release Q7.
-
D.
replacedStation
Indicates that one station has taken the place of another station, typically succeeding it in function, service, or location.
-
E.
replacesObjective
Indicates that one entity takes over or substitutes for another entity in fulfilling a particular objective or role.
- 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_69f0d6226fe881908819197c9ef9ee04 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be520f148190ba200bf3dbf40656 |
completed | May 3, 2026, 9:29 p.m. |
Created at: April 28, 2026, 6:54 p.m.