Triple
T32611515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Confederation of Organizations of the Teaching Profession |
E833665
|
entity |
| Predicate | sectoralClassification |
P175012
|
FINISHED |
| Object | global union federation in education |
—
|
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: global union federation in education | Statement: [World Confederation of Organizations of the Teaching Profession, sectoralClassification, global union federation in education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectoralClassification Context triple: [World Confederation of Organizations of the Teaching Profession, sectoralClassification, global union federation in education]
-
A.
economicClassification
Indicates how an entity is categorized based on its economic characteristics, status, or role within an economic system.
-
B.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
C.
SICCode
Indicates the standardized industrial classification code that categorizes the primary type of economic activity associated with an entity or relationship.
-
D.
sectoralCoverage
Indicates the specific sectors, industries, or domains to which something (such as a policy, agreement, or dataset) applies or extends.
-
E.
economicSectors
Indicates a relationship that associates entities with the economic sectors or industries in which they operate or to which they belong.
- 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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 1:06 a.m.