Triple
T35412515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labid ibn Rabi‘a |
E1023548
|
entity |
| Predicate | stoppedActivity |
P55520
|
FINISHED |
| Object | composing poetry after embracing Islam |
—
|
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: composing poetry after embracing Islam | Statement: [Labid ibn Rabi‘a, stoppedActivity, composing poetry after embracing Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stoppedActivity Context triple: [Labid ibn Rabi‘a, stoppedActivity, composing poetry after embracing Islam]
-
A.
stoppedBy
Indicates that one entity causes another entity to cease moving, operating, or continuing an action.
-
B.
stoppedAt
Indicates that an entity has come to a halt or pause at a specific location or point in time.
-
C.
activityEndedBecauseOf
chosen
Indicates that an activity has come to an end specifically due to a particular cause, condition, or event.
-
D.
ceasedActivityUnder
Indicates that an entity stopped performing a particular activity while under the authority, influence, or conditions imposed by another entity.
-
E.
ceasedOperationAfter
Indicates that one entity stopped functioning, operating, or being active after another specified event or entity’s operation ended.
- 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_69f76df54bac8190bd0d3b0eb35cda5f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79568d298819096853fa97b179305 |
completed | May 3, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.