Triple
T25602076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AL (Attributive Language) |
E641812
|
entity |
| Predicate | hasRoleSyntax |
P165823
|
FINISHED |
| Object | binary relations between individuals |
—
|
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: binary relations between individuals | Statement: [AL (Attributive Language), hasRoleSyntax, binary relations between individuals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleSyntax Context triple: [AL (Attributive Language), hasRoleSyntax, binary relations between individuals]
-
A.
hasRole
Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
-
B.
includesRoles
Indicates that one entity contains or encompasses one or more specified roles within its scope or structure.
-
C.
hasLegalRole
Indicates that an entity holds a specific legal capacity, status, or function in relation to another entity or context.
-
D.
requiresRole
Indicates that performing an action or accessing a resource is contingent on the subject having a specified role or set of roles.
-
E.
hasSafetyRole
Indicates that an entity holds a responsibility or function related to safety within a given context or system.
- 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a9cb0bc8190bf8a9b319900bad5 |
completed | May 2, 2026, 8:12 p.m. |
Created at: April 21, 2026, 4:31 p.m.