Triple
T16921770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeolis Mons |
E410458
|
entity |
| Predicate | hasNamedAfterPersonVariant |
P107513
|
FINISHED |
| Object | Mount Sharp named after Robert P. Sharp |
—
|
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: Mount Sharp named after Robert P. Sharp | Statement: [Aeolis Mons, hasNamedAfterPersonVariant, Mount Sharp named after Robert P. Sharp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamedAfterPersonVariant Context triple: [Aeolis Mons, hasNamedAfterPersonVariant, Mount Sharp named after Robert P. Sharp]
-
A.
hasNamedAfterPerson
chosen
Indicates that one entity is named in honor of, or derived from the name of, a specific person.
-
B.
hasCharacterNamedAfter
Indicates that one entity has a character whose name is derived from or intentionally based on another entity.
-
C.
hasPrincipleNamedAfter
Indicates that an entity has a principle, rule, or law that is named after a specified entity.
-
D.
hasPartiallyNamedAfter
Indicates that one entity is partially named in reference to another entity, such that only a portion of its name derives from or honors the other.
-
E.
hasHistoricNameVariant
Indicates that an entity has an alternative name that was used in a historical period or past context.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdef7df881908b69aa3c4f50ef94 |
completed | April 18, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.