Triple
T19019855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavo |
E465453
|
entity |
| Predicate | hasRichFieldOf |
P133579
|
FINISHED |
| Object | star clusters |
—
|
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: star clusters | Statement: [Pavo, hasRichFieldOf, star clusters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRichFieldOf Context triple: [Pavo, hasRichFieldOf, star clusters]
-
A.
hasRich
Indicates that an entity possesses or is characterized by a high level of wealth, abundance, or valuable resources.
-
B.
hasStrongField
Indicates that one entity possesses or exhibits a powerful or intense field (such as a physical, electromagnetic, or influence field) relative to some context or standard.
-
C.
hasNotableFieldOfDescendant
Indicates that an entity is associated with a notable field or area of expertise specifically through one or more of its descendants.
-
D.
hasInfield
Indicates that an entity possesses or includes a designated infield area, typically within a larger spatial or structural context.
-
E.
hasFieldContribution
Indicates that an entity has made a contribution or provided input within a particular field, domain, or area of activity.
- F. None of above. chosen
Provenance (4 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6ddc9608190a1daec9ddcc79a7a |
completed | April 20, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8f6f7c8190af645bf08823ee2b |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 12:02 p.m.