Triple
T10450636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akershus county |
E246411
|
entity |
| Predicate | hadCountyNumber |
P10086
|
FINISHED |
| Object | 02 |
—
|
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: 02 | Statement: [Akershus county, hadCountyNumber, 02]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadCountyNumber Context triple: [Akershus county, hadCountyNumber, 02]
-
A.
hasCountyCode
chosen
Indicates that an entity is associated with a specific county identified by a standardized county code.
-
B.
numberPerCounty
Indicates the quantity or count of something associated with each individual county.
-
C.
hasCountyNumberInKansas
Indicates that an entity is assigned a specific official county number within the state of Kansas.
-
D.
inCounty
Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
-
E.
hasCountyNumberInTennessee
Indicates that an entity is assigned a specific official county number within the state of Tennessee.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe0a6a548190a54212912f618e4e |
completed | April 7, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69d4fb73a5e48190a8df4775bc5da80f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:17 p.m.