Triple
T22807630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centru sector |
E564583
|
entity |
| Predicate | hasNameInRomanian |
P23117
|
FINISHED |
| Object | Sectorul Centru |
—
|
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: Sectorul Centru | Statement: [Centru sector, hasNameInRomanian, Sectorul Centru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sectorul Centru Context triple: [Centru sector, hasNameInRomanian, Sectorul Centru]
-
A.
Centrum
Centrum is the central urban district and main commercial area of the Dutch city of Meppel.
-
B.
Centrum
Centrum is the historic city center district of Amsterdam, known for its canals, landmarks, and bustling markets.
-
C.
Centrum
Centrum is the central district and main urban core of the Dutch municipality of Ridderkerk.
-
D.
Central City East
Central City East is a district in Downtown Los Angeles known for encompassing Skid Row and a high concentration of social services, shelters, and industrial and warehouse spaces.
-
E.
Centru sector
chosen
Centru sector is a central administrative district of Chișinău, the capital city of Moldova, known for hosting many of the city’s key governmental, cultural, and commercial institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5d41dc819081912d9e29828bfb |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.