Triple
T35602832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loopback Message |
E1028801
|
entity |
| Predicate | hasCompanionMessage |
P207062
|
FINISHED |
| Object | Loopback Reply |
—
|
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: Loopback Reply | Statement: [Loopback Message, hasCompanionMessage, Loopback Reply]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompanionMessage Context triple: [Loopback Message, hasCompanionMessage, Loopback Reply]
-
A.
hasCompanionCandidate
Indicates that an entity is associated with another entity that is being considered or proposed as a potential companion.
-
B.
hasCompanionContent
Indicates that one piece of content is accompanied by related or supplementary content intended to be used or consumed together.
-
C.
hasCompanionEvent
Indicates that one event is associated with another event that occurs alongside it as a related or accompanying occurrence.
-
D.
hasCompanionInText
Indicates that one entity is accompanied by or associated with another entity within the same textual context or passage.
-
E.
hasCompanionCase
Indicates that an entity is associated with another related case that accompanies or parallels it.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:05 p.m.