Triple
T26474776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VERA |
E665996
|
entity |
| Predicate | observesObjectType |
P133946
|
FINISHED |
| Object | maser sources |
—
|
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: maser sources | Statement: [VERA, observesObjectType, maser sources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observesObjectType Context triple: [VERA, observesObjectType, maser sources]
-
A.
observesType
Indicates that one entity observes, monitors, or takes note of another entity of a specified type.
-
B.
hasObservationTargetType
chosen
Indicates that an observation is directed toward or concerns a specific type or category of target.
-
C.
hasObserverType
Indicates that an entity is associated with a particular type or category of observer that monitors, views, or records it.
-
D.
isObservedUsing
Indicates that an entity is observed or monitored by means of a specified instrument, method, or medium.
-
E.
hasTypeOfObservance
Indicates that an observance is classified under a specific type or category of observance.
- 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_69ee883f80dc819090e311b022b78e02 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 27, 2026, 12:22 a.m.