Triple
T32400535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Gerlache crater |
E827935
|
entity |
| Predicate | isOfInterestFor |
P25176
|
FINISHED |
| Object | lunar exploration |
—
|
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: lunar exploration | Statement: [de Gerlache crater, isOfInterestFor, lunar exploration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOfInterestFor Context triple: [de Gerlache crater, isOfInterestFor, lunar exploration]
-
A.
subjectInterest
Indicates that the subject has an interest in, or is concerned with, the object.
-
B.
hasAreaOfInterest
chosen
Indicates that an entity possesses or is associated with a particular area of interest or focus.
-
C.
hasInterestType
Indicates that an entity is associated with a specific category or type of interest it holds or is concerned with.
-
D.
interestMayBe
Indicates that one entity potentially has an interest in, or may be interested in, another entity or subject.
-
E.
isHumanOfInterest
Indicates that the person is considered noteworthy, relevant, or significant within a particular context or analysis.
- 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_69f34919342c8190a4c3bf35a90d4e58 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c21a287c8190a5b89658ed837f5d |
completed | May 3, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:52 a.m.