Triple
T29937490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epsilon Centauri |
E760408
|
entity |
| Predicate | hasCompanionsDetected |
P202776
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Epsilon Centauri, hasCompanionsDetected, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompanionsDetected Context triple: [Epsilon Centauri, hasCompanionsDetected, false]
-
A.
hasCompanionCandidate
Indicates that an entity is associated with another entity that is being considered or proposed as a potential companion.
-
B.
hasNumberOfCompanions
Indicates the quantity of companions or associates that an entity has.
-
C.
hasCompanionSpecies
Indicates that one entity is accompanied by, or exists in association with, another entity of a different species.
-
D.
hasCompanionInGroup
Indicates that an entity is accompanied by or associated with at least one other entity within the same group or collective context.
-
E.
hasCompanionActor
Indicates that one actor is accompanied or associated by another actor as a companion in a given context or activity.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a00b7fb90f881908f73edf2be8cc3a5 |
completed | May 10, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_6a00b75593d08190b3e76191cd79cdec |
completed | May 10, 2026, 4:50 p.m. |
| PDg | Predicate description generation | batch_6a00b7faee908190906aae5233ea3122 |
completed | May 10, 2026, 4:53 p.m. |
Created at: April 29, 2026, 6:21 p.m.