Triple
T1007605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batik |
E21748
|
entity |
| Predicate | productionStep |
P9959
|
FINISHED |
| Object | wax application |
—
|
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: wax application | Statement: [Batik, productionStep, wax application]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionStep Context triple: [Batik, productionStep, wax application]
-
A.
partOfProcess
Indicates that one event, step, or action occurs as a component or stage within a larger overall process.
-
B.
productionEnd
Indicates that a production process, activity, or run has come to its completion or final stopping point.
-
C.
finalStep
Indicates that an action or state represents the last step or concluding stage in a process or sequence.
-
D.
programPhase
Indicates the specific stage or phase within a broader program or process that an entity is currently associated with.
-
E.
hasStep
chosen
Indicates that one entity includes, is composed of, or is associated with a specific step or stage in a process involving another entity.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f4c66c8190b6098fb72c1465a3 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b7203124819091de68cba5f731c1 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.