Triple
T6562662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Education |
E153821
|
entity |
| Predicate | usedToPromote |
P61924
|
FINISHED |
| Object | Malang as an education center |
—
|
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: Malang as an education center | Statement: [City of Education, usedToPromote, Malang as an education center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToPromote Context triple: [City of Education, usedToPromote, Malang as an education center]
-
A.
promotes
Indicates that one entity actively supports, advances, or encourages the growth, adoption, or success of another entity or outcome.
-
B.
promotionalFor
chosen
Indicates that one entity serves to advertise, market, or otherwise promote another entity, such as a product, service, event, or brand.
-
C.
promotesFrom
Indicates that one entity advances or elevates another entity from a lower position, role, or status to a higher one.
-
D.
promotionTo
Indicates that one entity is elevated or advanced to a higher rank, position, or status relative to another entity or context.
-
E.
allowsPromotion
Indicates that one entity grants permission or enables another entity to be promoted to a higher status, level, or position.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c1b15d3481908ae66e3d7564b352 |
completed | March 27, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c6acf6d4148190914b19e9affd8c76 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:52 p.m.