Triple
T33731872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo 16 landing site |
E864293
|
entity |
| Predicate | selectionRationale |
P23142
|
FINISHED |
| Object | representative of ancient lunar highlands crust |
—
|
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: representative of ancient lunar highlands crust | Statement: [Apollo 16 landing site, selectionRationale, representative of ancient lunar highlands crust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionRationale Context triple: [Apollo 16 landing site, selectionRationale, representative of ancient lunar highlands crust]
-
A.
selectionReason
Indicates the reason or justification for choosing or selecting one entity over alternatives.
-
B.
decisionBasis
chosen
Indicates the underlying reason, criterion, or rationale on which a decision is made.
-
C.
selectionDescribedIn
Indicates that a particular selection or choice is documented, explained, or detailed within a specified description or source.
-
D.
selectionRitual
Indicates a process or ceremony through which one or more entities are chosen from a set of candidates.
-
E.
selectionCharacteristic
Indicates a distinguishing feature or criterion used to choose or differentiate one entity from others.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:44 a.m.