Triple
T12649960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asia/Chita |
E302129
|
entity |
| Predicate | ianaFormat |
P106184
|
FINISHED |
| Object | Area/Location |
—
|
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/Location | Statement: [Asia/Chita, ianaFormat, Area/Location]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ianaFormat Context triple: [Asia/Chita, ianaFormat, Area/Location]
-
A.
dateNotation
Indicates how a date is written or formatted in notation (e.g., order and style of day, month, and year).
-
B.
dateFormat
Indicates the specific pattern or structure used to represent a date as a formatted string.
-
C.
ianaTimeZoneNameFormat
Indicates how a time-related value is represented or labeled according to the IANA time zone naming convention.
-
D.
dateSecularized
Indicates the date on which a religious or ecclesiastical entity was formally converted to secular (non-religious) status.
-
E.
ianaLocation
Indicates that an entity is associated with a specific geographic or network location identified using an IANA-defined naming or coding scheme.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960b47130819097e1162ed4fc993a |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d961acadb8819098de743bc951fedb |
completed | April 10, 2026, 8:46 p.m. |
Created at: April 9, 2026, 5:18 p.m.