Triple
T26082665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Union (Egypt) |
E657886
|
entity |
| Predicate | massBase |
P135472
|
FINISHED |
| Object | state employees |
—
|
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: state employees | Statement: [National Union (Egypt), massBase, state employees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massBase Context triple: [National Union (Egypt), massBase, state employees]
-
A.
massCategory
Indicates the classification of an entity based on its mass into a defined category or range.
-
B.
massSupport
chosen
Indicates that a large number of individuals collectively endorse, approve of, or back a particular entity, action, or position.
-
C.
massFront
Indicates that one entity is positioned directly in front of or facing the front side of another entity in terms of mass or physical arrangement.
-
D.
massParameter
Indicates a relationship where a specific mass value is assigned to or characterizes an entity as a parameter in a model or system.
-
E.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
- 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_69ee5bbf0d208190801ee95d4f07fb16 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f606fcb3c48190930c7c6e532524d1 |
completed | May 2, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 7:39 p.m.