Triple
T36788999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cibinium |
E909000
|
entity |
| Predicate | appliesToEconomicCenter |
P118527
|
FINISHED |
| Object | Sibiu |
—
|
NE NERFINISHED |
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: Sibiu | Statement: [Cibinium, appliesToEconomicCenter, Sibiu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToEconomicCenter Context triple: [Cibinium, appliesToEconomicCenter, Sibiu]
-
A.
isEconomicCenter
Indicates that an entity functions as a primary hub for economic activity, such as trade, finance, or industry, within a region or system.
-
B.
servesEconomicRegion
chosen
Indicates that an entity provides services, support, or functions that benefit or are directed toward a particular economic region.
-
C.
appliesToPopulationCenter
Indicates that something (such as a rule, condition, or characteristic) is relevant or applicable to a specific population center (e.g., a city, town, or urban area).
-
D.
linksEconomicCenter
Indicates a relationship where one entity connects or ties another entity to an economic center, such as a hub of trade, finance, or commercial activity.
-
E.
isMajorEconomicAreaFor
Indicates that a location or region serves as a primary center of significant economic activity for a specified entity or sector.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff9b1ad27081908f8a492396950795 |
completed | May 9, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69ff9a6354c48190ae21070c1424cb7a |
completed | May 9, 2026, 8:34 p.m. |
Created at: May 3, 2026, 4:12 p.m.