Triple
T361646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LU |
E7866
|
entity |
| Predicate | hasOfficialAssignment |
P12370
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [LU, hasOfficialAssignment, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialAssignment Context triple: [LU, hasOfficialAssignment, true]
-
A.
assignedByAbbreviation
Indicates that an assignment or designation was made by an entity identified through a specific abbreviation.
-
B.
assignedTo
Indicates that responsibility for a task, item, or role has been designated to a specific entity.
-
C.
assignedInStandard
Indicates that something is allocated or designated within a defined standard, specification, or normative framework.
-
D.
hasOfficialReporter
Indicates that something (such as a case, decision, or proceeding) is associated with an officially designated reporter or publication that records it.
-
E.
assignedUnder
Indicates that one entity has been given responsibility, duty, or authority to act within the scope, supervision, or framework defined by another entity.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebce64c88190a0a8edcc7095f78b |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95c843c8190b2aba9af6e869ba1 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2c44408190946267525c88e811 |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.