Triple
T38544651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DZ |
E924932
|
entity |
| Predicate | correspondingIOCCode |
P119761
|
FINISHED |
| Object | ALG |
—
|
NE NERFINISHED |
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: ALG | Statement: [DZ, correspondingIOCCode, ALG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondingIOCCode Context triple: [DZ, correspondingIOCCode, ALG]
-
A.
ICCCode
Indicates that an entity is associated with a specific International Criminal Court (ICC) code, identifying its classification or legal reference under ICC standards.
-
B.
hasICBCode
Indicates that an entity is associated with a specific ICB (Industry Classification Benchmark) code that classifies its industry or sector.
-
C.
UICCompanyCode
Indicates a relationship where a specific company is identified or classified by its unique UIC (Uniform Identification Code) company code.
-
D.
operatesUnderICAODesignator
Indicates that an airline or aviation operator conducts its operations using a specific ICAO-assigned designator code.
-
E.
associatedCountryCodeSystem
chosen
Indicates that there is a relationship between an entity and the country code system it is associated with or governed by.
- 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.