Triple
T35602874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linktrace Message |
E1028802
|
entity |
| Predicate | hasCompanionMessageType |
P207063
|
FINISHED |
| Object | Linktrace Reply |
E1028802
|
NE 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: Linktrace Reply | Statement: [Linktrace Message, hasCompanionMessageType, Linktrace Reply]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompanionMessageType Context triple: [Linktrace Message, hasCompanionMessageType, Linktrace Reply]
-
A.
hasCompanionField
Indicates that an entity is associated with another entity that serves as its companion or complementary field.
-
B.
hasCompanionCandidate
Indicates that an entity is associated with another entity that is being considered or proposed as a potential companion.
-
C.
hasCompanionInText
Indicates that one entity is accompanied by or associated with another entity within the same textual context or passage.
-
D.
hasCompanionActor
Indicates that one actor is accompanied or associated by another actor as a companion in a given context or activity.
-
E.
hasCompanionIndex
Indicates that an entity is associated with a specific companion identified by an index or positional number within a set of companions.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a385be317e08190aa64097a8d7f766d |
completed | June 21, 2026, 9:47 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.