Triple
T27572725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLNS |
E696075
|
entity |
| Predicate | relationshipWithCLNP |
P200162
|
FINISHED |
| Object | CLNP is the packet format used by CLNS |
—
|
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: CLNP is the packet format used by CLNS | Statement: [CLNS, relationshipWithCLNP, CLNP is the packet format used by CLNS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithCLNP Context triple: [CLNS, relationshipWithCLNP, CLNP is the packet format used by CLNS]
-
A.
relationshipStatusWithNP
Indicates the type or state of a relationship that one entity has with a specified noun phrase (NP).
-
B.
relationshipToARP
Indicates a specified type of relationship or association that an entity has to an ARP (which may represent a particular person, program, plan, or reference point).
-
C.
relationshipToOrganization
Indicates the nature or type of connection an entity has with a specific organization, such as affiliation, membership, or role.
-
D.
referralRelationship
Indicates a relationship in which one entity directs or recommends another entity to a third party for services, information, or further action.
-
E.
hasProfessionalRelationshipWith
Indicates a formal, work-related connection or collaboration exists between the two entities in a professional context.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69ff795d25d08190b7584c72be39d309 |
completed | May 9, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69ff78a90fbc8190a62c57456dc1d4ad |
completed | May 9, 2026, 6:10 p.m. |
| PDg | Predicate description generation | batch_69ff795c702c8190b00844407f2882af |
completed | May 9, 2026, 6:13 p.m. |
Created at: April 27, 2026, 1:44 p.m.