Triple
T4074700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPJC |
E86733
|
entity |
| Predicate | regionCodePrefixMeaning |
P34409
|
FINISHED |
| Object | Peru and some other South American states |
—
|
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: Peru and some other South American states | Statement: [SPJC, regionCodePrefixMeaning, Peru and some other South American states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionCodePrefixMeaning Context triple: [SPJC, regionCodePrefixMeaning, Peru and some other South American states]
-
A.
regionCodeType
Indicates the classification or format type used for a given region code within a coding or identification system.
-
B.
icaoRegionPrefix
chosen
Indicates the regional ICAO prefix that designates the geographic or administrative region associated with an aviation-related entity.
-
C.
areaCode
Indicates that a location, phone number, or region is associated with a specific telephone area code.
-
D.
regionCodeSystem
Indicates that a region is identified or classified according to a particular coding system for geographic or administrative areas.
-
E.
countryCodePart
Indicates that one entity is a segment or component of a standardized country code associated with another entity.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc25e2e08190b3c048e1b8f85bbf |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.