Triple
T4468602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CERN member states |
E98438
|
entity |
| Predicate | areDistinctFrom |
P1612
|
FINISHED |
| Object | CERN associate member states |
—
|
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: CERN associate member states | Statement: [CERN member states, areDistinctFrom, CERN associate member states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areDistinctFrom Context triple: [CERN member states, areDistinctFrom, CERN associate member states]
-
A.
isDistinctFrom
chosen
Indicates that two entities are not identical and can be clearly distinguished from one another.
-
B.
mechanicallyDistinctFrom
Indicates that two entities differ in their mechanical properties, structure, or behavior such that they are not mechanically equivalent or interchangeable.
-
C.
historicallyDistinctFrom
Indicates that two entities are recognized as separate and not the same in historical context, despite any similarities or connections they may have.
-
D.
areDisjointWith
Indicates that two entities have no elements, instances, or members in common within the specified context.
-
E.
hasDistinctLettersFor
Indicates that one entity is associated with another such that the letters used in the first are all different from (i.e., share no letters with) those used in the second.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:34 p.m.