Triple
T11107615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maleville |
E262673
|
entity |
| Predicate | telephoneAreaCodeDepartment |
P9698
|
FINISHED |
| Object | 05 |
—
|
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: 05 | Statement: [Maleville, telephoneAreaCodeDepartment, 05]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: telephoneAreaCodeDepartment Context triple: [Maleville, telephoneAreaCodeDepartment, 05]
-
A.
departmentNumber
chosen
Indicates the specific numeric code assigned to identify a particular department within an organization or system.
-
B.
areaCode
Indicates that a location, phone number, or region is associated with a specific telephone area code.
-
C.
officeNumber
Indicates the specific room or suite number assigned to an office within a building or complex.
-
D.
hasAreaCode
Indicates that a specified telephone area code is assigned to or associated with a particular geographic region, location, or phone service entity.
-
E.
telephoneStandard
Indicates that there is a relationship involving the use of a particular telephone standard or protocol for communication between entities.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a6546d4819092187e9c12a30ed5 |
completed | April 9, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.