Triple
T19019621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Standard Industrial Classification |
E465447
|
entity |
| Predicate | latestVersion |
P3698
|
FINISHED |
| Object | ISIC Rev.4 |
—
|
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: ISIC Rev.4 | Statement: [International Standard Industrial Classification, latestVersion, ISIC Rev.4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISIC Rev.4 Context triple: [International Standard Industrial Classification, latestVersion, ISIC Rev.4]
-
A.
ISIC
chosen
ISIC is the internationally recognized system for classifying economic activities used for statistics, economic analysis, and policy-making.
-
B.
Skinfaxi
Skinfaxi is the shining horse of Norse mythology that pulls the day across the sky for the deity Dagr.
-
C.
MDSD
MDSD is the ICAO airport code for Las Américas International Airport, a major international gateway serving Santo Domingo in the Dominican Republic.
-
D.
MRSD
MRSD is a specialized graduate program focused on the practical design, development, and deployment of advanced robotic systems.
-
E.
MRSD
MRSD is the commonly used abbreviation for the Molalla River School District, a public school district serving the Molalla area in Oregon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6ddc9608190a1daec9ddcc79a7a |
completed | April 20, 2026, 7:33 a.m. |
Created at: April 10, 2026, 12:02 p.m.