Triple
T28176337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Bucharest–Ploiești area |
E715598
|
entity |
| Predicate | serviceSectorPresence |
P175645
|
FINISHED |
| Object | finance in Bucharest |
—
|
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: finance in Bucharest | Statement: [Greater Bucharest–Ploiești area, serviceSectorPresence, finance in Bucharest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceSectorPresence Context triple: [Greater Bucharest–Ploiești area, serviceSectorPresence, finance in Bucharest]
-
A.
sectorServed
Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
-
B.
sectoralCoverage
Indicates the specific sectors, industries, or domains to which something (such as a policy, agreement, or dataset) applies or extends.
-
C.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
D.
hasServiceSectorDominance
Indicates that the service sector constitutes the largest or most influential portion of an entity’s overall economic or operational activity.
-
E.
sectorOfOperation
Indicates the industry, domain, or field within which an entity conducts its primary activities or operations.
- F. None of above. chosen
Provenance (4 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: April 27, 2026, 10:16 p.m.