Triple
T6562663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Education |
E153821
|
entity |
| Predicate | emphasizesRoleOfCityAs |
P48445
|
FINISHED |
| Object | major Indonesian center for education |
—
|
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: major Indonesian center for education | Statement: [City of Education, emphasizesRoleOfCityAs, major Indonesian center for education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesRoleOfCityAs Context triple: [City of Education, emphasizesRoleOfCityAs, major Indonesian center for education]
-
A.
focusCityRole
Indicates that a city serves a particular primary role or function within a broader geographic or organizational context.
-
B.
hasMajorCityRole
Indicates that an entity plays a significant official or functional role in the governance, administration, or key operations of a major city.
-
C.
hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
-
D.
cityPromotedAs
chosen
Indicates that a city is being advertised, marketed, or presented in a particular way or for a particular purpose.
-
E.
cityOfInfluence
Indicates the city that significantly shapes, impacts, or exerts influence over a given 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_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.