Triple
T20935072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abell 3627 |
E515562
|
entity |
| Predicate | hasBautzMorganType |
P135126
|
FINISHED |
| Object | I |
—
|
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: I | Statement: [Abell 3627, hasBautzMorganType, I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBautzMorganType Context triple: [Abell 3627, hasBautzMorganType, I]
-
A.
BautzMorganType
chosen
Indicates the classification of a galaxy cluster according to the Bautz-Morgan scheme, based on the prominence and dominance of its brightest member galaxy.
-
B.
hasMotherhouseType
Indicates the specific type or classification of a religious community’s motherhouse associated with an entity.
-
C.
hasBondType
Indicates the specific kind of bond or connection that exists between two related entities.
-
D.
hasBMVBranchType
Indicates that an entity is associated with a specific type or category of BMV (Bureau of Motor Vehicles) branch.
-
E.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f950d5e081908ec0df4824cf69f7 |
completed | April 21, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:49 p.m.