Triple
T1254649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Low Mass |
E26958
|
entity |
| Predicate | hasParticipationForm |
P11584
|
FINISHED |
| Object | primarily spoken responses by server or congregation |
—
|
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: primarily spoken responses by server or congregation | Statement: [Low Mass, hasParticipationForm, primarily spoken responses by server or congregation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParticipationForm Context triple: [Low Mass, hasParticipationForm, primarily spoken responses by server or congregation]
-
A.
hasParticipants
Indicates that an event, activity, or situation involves one or more entities as participants in it.
-
B.
hasGlobalParticipation
Indicates that an entity is involved in or contributes to activities, initiatives, or operations that span multiple countries or have worldwide scope.
-
C.
participationModel
chosen
Indicates how entities are involved in or contribute to an activity, process, or interaction.
-
D.
hasForm
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
E.
containsForm
Indicates that one entity includes or encapsulates another entity as a form, structure, or representation within it.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bfa5a4cc819093ed686619b572d8 |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.