Triple
T12866239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO 3166-2:ZA |
E307725
|
entity |
| Predicate | subdivisionNameForCode |
P50511
|
FINISHED |
| Object | ZA-EC = Eastern Cape |
—
|
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: ZA-EC = Eastern Cape | Statement: [ISO 3166-2:ZA, subdivisionNameForCode, ZA-EC = Eastern Cape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subdivisionNameForCode Context triple: [ISO 3166-2:ZA, subdivisionNameForCode, ZA-EC = Eastern Cape]
-
A.
subdivisionName0
Indicates the name assigned to the first (primary) subdivision or sub-unit associated with an entity.
-
B.
subdivisionNameLanguage
Indicates the language in which the name of a subdivision (such as a region, district, or administrative unit) is expressed.
-
C.
provincialSubdivisionName
Indicates the name assigned to a first-level administrative or provincial subdivision within a larger territorial or political entity.
-
D.
subdivisionISOName
chosen
Indicates the standardized ISO-recognized name assigned to a specific administrative subdivision within a country.
-
E.
subdivisionName1
Indicates that the first named subdivision is identified by a specific name or designation within a larger geographic or organizational hierarchy.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa3002881908000357b1f95a3ac |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:38 p.m.