Triple
T38544654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DZ |
E924932
|
entity |
| Predicate | correspondingUNCode |
P191751
|
FINISHED |
| Object | 012 |
—
|
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: 012 | Statement: [DZ, correspondingUNCode, 012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondingUNCode Context triple: [DZ, correspondingUNCode, 012]
-
A.
hasUNCode
Indicates that an entity is associated with a specific United Nations–assigned code that identifies it in UN systems or classifications.
-
B.
recognizedByUNAsPartOf
Indicates that an entity is officially acknowledged or accepted by the United Nations as belonging to, or constituting a component of, another specified entity or grouping.
-
C.
ISOCode
Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
-
D.
designationByUNECE
Indicates that an entity has been assigned an official designation or classification by the United Nations Economic Commission for Europe (UNECE).
-
E.
UNLOCODE
Indicates that an entity is associated with a specific UN/LOCODE, i.e., a standardized United Nations location code identifying a particular place used in international trade and transport.
- 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69fce76669408190b1beef8899a8a5e2 |
completed | May 7, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:32 p.m.