Triple
T21990014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XSL-FO |
E543057
|
entity |
| Predicate | outputProducedBy |
P45803
|
FINISHED |
| Object | XSL-FO processors |
—
|
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: XSL-FO processors | Statement: [XSL-FO, outputProducedBy, XSL-FO processors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outputProducedBy Context triple: [XSL-FO, outputProducedBy, XSL-FO processors]
-
A.
producedAs
Indicates that one entity is created, generated, or brought into existence as a result or output of another entity or process.
-
B.
productionBy
chosen
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
-
C.
componentTypeProduced
Indicates that one entity produces or manufactures a specific type of component as an output of its activity or process.
-
D.
producesFor
Indicates that one entity creates, manufactures, or generates something specifically intended for another entity’s use, benefit, or distribution.
-
E.
producedSaint
Indicates that an entity (such as a place, group, or lineage) has given rise to or brought forth a particular saint.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270cb67c81909a3aa2dc61c1894f |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:05 p.m.