Triple
T14280258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aristotle’s Athenian Constitution |
E354025
|
entity |
| Predicate | institutionalSectionCovers |
P41428
|
FINISHED |
| Object | citizenship rules in Athens |
—
|
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: citizenship rules in Athens | Statement: [Aristotle’s Athenian Constitution, institutionalSectionCovers, citizenship rules in Athens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: institutionalSectionCovers Context triple: [Aristotle’s Athenian Constitution, institutionalSectionCovers, citizenship rules in Athens]
-
A.
servesInstitutionalArea
Indicates that an entity provides services or functions in support of a specific institutional area or domain.
-
B.
coversSection
chosen
Indicates that one entity includes, addresses, or provides content for a particular section of another entity.
-
C.
section43Covers
Indicates that a specific legal or regulatory section (section 43) applies to, governs, or provides coverage for a particular subject, case, or situation.
-
D.
coversDepartment
Indicates that one entity includes, encompasses, or has responsibility for a particular department within its scope.
-
E.
sectoralCoverage
Indicates the specific sectors, industries, or domains to which something (such as a policy, agreement, or dataset) applies or extends.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697b5e8081908e5b91a3a1c55df9 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.