Triple
T318797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/Santiago |
E7766
|
entity |
| Predicate | formatStandardExample |
P130
|
FINISHED |
| Object | 2024-06-01T12:00:00-04:00 America/Santiago |
—
|
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: 2024-06-01T12:00:00-04:00 America/Santiago | Statement: [America/Santiago, formatStandardExample, 2024-06-01T12:00:00-04:00 America/Santiago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatStandardExample Context triple: [America/Santiago, formatStandardExample, 2024-06-01T12:00:00-04:00 America/Santiago]
-
A.
standardizedFor
Indicates that something has been adjusted or converted to conform to a common standard, format, or reference so it can be consistently compared or used.
-
B.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
C.
standardType
Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
-
D.
standardFormBasedIn
Indicates that a standardized form or format is established, defined, or grounded in a particular source, basis, or reference framework.
-
E.
formatBefore
Indicates that one item’s format or formatting must occur or be applied prior to another item’s format or formatting.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb7df63c8190b7cd1bcfdfd96187 |
completed | Feb. 28, 2026, 1:19 p.m. |
| PD | Predicate disambiguation | batch_69a2e94513ec819089f5177f7a521e65 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.