Triple
T5260015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Micron All Sky Survey |
E118799
|
entity |
| Predicate | numberOfExtendedSources |
P17874
|
FINISHED |
| Object | over 1.6 million |
—
|
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 1.6 million | Statement: [Two Micron All Sky Survey, numberOfExtendedSources, over 1.6 million]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfExtendedSources Context triple: [Two Micron All Sky Survey, numberOfExtendedSources, over 1.6 million]
-
A.
numberOfAdditionalChannels
Indicates the quantity of extra channels added beyond a base or default set in a given context.
-
B.
numberOfSites
Indicates the total count of distinct sites associated with or involved in the given entity or context.
-
C.
extendedFrom
Indicates that one entity is derived by adding to or building upon the scope, content, or structure of another entity.
-
D.
numberOfInstances
chosen
Indicates the quantity or count of distinct occurrences or instances associated with a given entity or context.
-
E.
numberOfModules
Indicates the total count of modules associated with a given 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bcced6881909bdb7ac5471a37fe |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.