Triple
T21384610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andromeda 15 |
E527457
|
entity |
| Predicate | distanceGroup |
P5679
|
FINISHED |
| Object | nearby galaxies |
—
|
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: nearby galaxies | Statement: [Andromeda 15, distanceGroup, nearby galaxies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceGroup Context triple: [Andromeda 15, distanceGroup, nearby galaxies]
-
A.
distanceReferenceGroup
Indicates a relationship where one entity serves as the reference group from which the distance to another entity is measured or evaluated.
-
B.
distanceCategory
chosen
Indicates the qualitative classification of how far apart two entities are from each other (e.g., near, medium, far).
-
C.
distancesFrom
Indicates the measured spatial separation between one entity and one or more other entities.
-
D.
distance
Indicates the spatial separation or length between two points, objects, or locations.
-
E.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
- F. None of above.
Provenance (3 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f211c08190b3a129eaa725422e |
completed | April 22, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:12 p.m.