Triple
T13615348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAICS codes |
E325296
|
entity |
| Predicate | replacesInUS |
P37094
|
FINISHED |
| Object | SIC codes |
—
|
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: SIC codes | Statement: [NAICS codes, replacesInUS, SIC codes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacesInUS Context triple: [NAICS codes, replacesInUS, SIC codes]
-
A.
replacedInCountry
chosen
Indicates that one entity has been substituted or superseded by another within the context or jurisdiction of a specific country.
-
B.
replacesInPractice
Indicates that one entity has effectively taken over the role, function, or use of another entity in real-world application or usage.
-
C.
replacedWith
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
D.
replacedDuring
Indicates that one entity took the place of another entity during a specified time period or interval.
-
E.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:50 p.m.