Triple
T18695750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier (lunar crater) |
E457109
|
entity |
| Predicate | catalogInclusion |
P123276
|
FINISHED |
| Object | listed in standard lunar crater catalogs |
—
|
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: listed in standard lunar crater catalogs | Statement: [Messier (lunar crater), catalogInclusion, listed in standard lunar crater catalogs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalogInclusion Context triple: [Messier (lunar crater), catalogInclusion, listed in standard lunar crater catalogs]
-
A.
catalogueIncludes
chosen
Indicates that a catalogue contains or lists a particular item as part of its contents.
-
B.
classificationIncludes
Indicates that a broader classification category encompasses or contains a specified subclass, member, or element within its scope.
-
C.
catalog
Indicates the action of systematically listing, organizing, or recording items or information into a structured collection or database.
-
D.
productIncludes
Indicates that a product contains, comprises, or is composed of the specified component, item, or feature.
-
E.
orderIncludes
Indicates that a particular order contains or comprises the specified item(s) or component(s).
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e775408190996b4c613b83f185 |
completed | April 19, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.