Triple
T35356017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagyszeben |
E1021327
|
entity |
| Predicate | correspondsToCountySeatOf |
P43440
|
FINISHED |
| Object | Sibiu County |
—
|
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 County | Statement: [Nagyszeben, correspondsToCountySeatOf, Sibiu County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondsToCountySeatOf Context triple: [Nagyszeben, correspondsToCountySeatOf, Sibiu County]
-
A.
hasCountySeatOf
Indicates that a place serves as the administrative county seat (capital) of a specified county.
-
B.
isInCountySeatOf
Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
-
C.
hasCountySeatRelation
chosen
Indicates that a specific place serves as the county seat (administrative center) of a particular county.
-
D.
hasCountySeatOn
Indicates that a county’s administrative center (county seat) is located on or adjacent to a specified geographic feature or infrastructure.
-
E.
containsCountySeat
Indicates that one administrative region or area includes within its boundaries the designated county seat location of a county.
- 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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:03 p.m.