Triple
T37036658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubble L |
E916657
|
entity |
| Predicate | isInReferenceCatalog |
P19933
|
FINISHED |
| Object | International Astronomical Union lunar nomenclature |
—
|
NE NERFINISHED |
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: International Astronomical Union lunar nomenclature | Statement: [Hubble L, isInReferenceCatalog, International Astronomical Union lunar nomenclature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInReferenceCatalog Context triple: [Hubble L, isInReferenceCatalog, International Astronomical Union lunar nomenclature]
-
A.
isReferenceLibrary
Indicates that an entity functions as a reference library, i.e., a collection primarily intended for on-site consultation rather than lending.
-
B.
belongsToCatalogOf
chosen
Indicates that one item is included within, or is a member of, a particular catalog or collection.
-
C.
isReferencedIn
Indicates that one entity is cited, mentioned, or otherwise referred to within another entity.
-
D.
discoveredInCatalogue
Indicates that an entity was identified or first recognized through information found in a specific catalogue.
-
E.
isReferenceSpecimenFor
Indicates that one specimen serves as the designated reference or standard example for identifying or defining another entity (such as a taxon, sample set, or measurement series).
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.