Triple
T5410435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgo Cluster |
E121000
|
entity |
| Predicate | memberCountEstimate |
P56974
|
FINISHED |
| Object | over 1300 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: over 1300 galaxies | Statement: [Virgo Cluster, memberCountEstimate, over 1300 galaxies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberCountEstimate Context triple: [Virgo Cluster, memberCountEstimate, over 1300 galaxies]
-
A.
estimatedMemberCount
chosen
Indicates the approximate or predicted number of members associated with an entity.
-
B.
numberOfFullMembers
Indicates the total count of entities that hold full membership status within a specified group or organization.
-
C.
guestCountApproximate
Indicates that the number of guests involved is represented as an estimated or approximate count rather than an exact figure.
-
D.
userCount
Indicates the number of users associated with or involved in a given context or entity.
-
E.
approximateAudienceSize
Indicates an estimated number of individuals or entities that are expected to be reached or affected in a given context.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87985ee0819092a9a5cd6a948138 |
completed | March 20, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69bd8467e6b48190b9eaa9de67072e06 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:05 p.m.