Triple
T35351803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seleucus (crater) |
E1020899
|
entity |
| Predicate | morphologicalAgeClass |
P110301
|
FINISHED |
| Object | Eratosthenian |
—
|
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: Eratosthenian | Statement: [Seleucus (crater), morphologicalAgeClass, Eratosthenian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: morphologicalAgeClass Context triple: [Seleucus (crater), morphologicalAgeClass, Eratosthenian]
-
A.
typicalAge
Indicates the usual or characteristic age associated with an entity, event, or condition.
-
B.
ageType
Indicates the specific categorization or classification of an age value (e.g., actual, estimated, range-based) associated with an entity.
-
C.
agePattern
Indicates a relationship where entities share or follow a specific configuration, distribution, or rule regarding their ages.
-
D.
hasAgeClassification
chosen
Indicates that an entity is associated with a specific age-based category or grouping.
-
E.
standAge
Indicates the age or time duration that a particular stand (e.g., a forest stand or grouped vegetation area) has existed or been established.
- 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_69f76decd95c8190ae428f6a19d535de |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.