Triple
T38598241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo 83 |
E934139
|
entity |
| Predicate | locationCityStatus |
—
|
GENERATED |
| Object | major industrial and cultural center in Bulgaria |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationCityStatus Context triple: [Expo 83, locationCityStatus, major industrial and cultural center in Bulgaria]
-
A.
cityStatusContext
chosen
Indicates the contextual status or role that a city holds within a broader administrative, political, or situational framework.
-
B.
cityLocation
Indicates that a city is geographically situated within or associated with a specific larger area or place.
-
C.
cityStatusAppliesTo
Indicates that a particular city status or designation is applicable to a given city or urban entity.
-
D.
impliesStatusOfCity
Indicates that one entity suggests, infers, or entails a particular status or condition of a city.
-
E.
cityRelocationStatus
Indicates the status or stage of a city’s relocation process from one place to another.
- F. None of above.
Provenance (1 batch)
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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.