Triple
T19747439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | area code 234 |
E474288
|
entity |
| Predicate | sharesRateCenterStructureWith |
P137170
|
FINISHED |
| Object | area code 330 |
—
|
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: area code 330 | Statement: [area code 234, sharesRateCenterStructureWith, area code 330]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesRateCenterStructureWith Context triple: [area code 234, sharesRateCenterStructureWith, area code 330]
-
A.
sharesBaseWith
Indicates that two entities have a common underlying base element, source, or component from which they are derived or constructed.
-
B.
sharesAdministrationWith
Indicates that two entities are jointly managed, governed, or overseen by the same administrative body or authority.
-
C.
sharesDivisionWith
Indicates that two entities belong to or operate within the same organizational division.
-
D.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
E.
sharesContextWith
Indicates that two entities occur within or are associated with the same situational, semantic, or environmental context.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65295f3b88190a541354f41e3ea1d |
completed | April 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:47 p.m.