Triple
T29480819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spartiates |
E747781
|
entity |
| Predicate | legalRights |
P5532
|
FINISHED |
| Object | exclusive political rights in Sparta |
—
|
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: exclusive political rights in Sparta | Statement: [Spartiates, legalRights, exclusive political rights in Sparta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalRights Context triple: [Spartiates, legalRights, exclusive political rights in Sparta]
-
A.
legalDocumentRelatedToRights
Indicates a relationship where a legal document concerns, defines, or affects the rights or entitlements of entities involved.
-
B.
rightsCategory
Indicates the classification or type of rights associated with an entity or relationship.
-
C.
legalMatters
Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
-
D.
rights
chosen
Indicates that an entity possesses entitlements, permissions, or legal/moral claims in relation to another entity or context.
-
E.
legalProtectionFor
Indicates that one entity provides or is subject to legal safeguards, rights, or defenses in favor of another entity or interest.
- 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_69f0bd43ba30819095eb1cfc3adf525c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: April 28, 2026, 4:03 p.m.