Triple
T8926278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | lex talionis |
E212545
|
entity |
| Predicate | hasShortDefinition |
P86227
|
FINISHED |
| Object | a legal principle prescribing punishment equivalent to the harm caused |
—
|
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: a legal principle prescribing punishment equivalent to the harm caused | Statement: [lex talionis, hasShortDefinition, a legal principle prescribing punishment equivalent to the harm caused]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShortDefinition Context triple: [lex talionis, hasShortDefinition, a legal principle prescribing punishment equivalent to the harm caused]
-
A.
hasShortTitle
Indicates that an entity is associated with a brief or abbreviated title.
-
B.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
C.
shortFormType
Indicates that one entity is a shortened, abbreviated, or otherwise condensed form or variant of another entity.
-
D.
wasShortened
Indicates that something has been made shorter in length, duration, or extent compared to its original form.
-
E.
isShortLine
Indicates that a line is relatively short in length compared to a standard or other lines.
- 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_69ca839481d48190b42b037e0d0f636c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66700fb48190874563e535f20437 |
completed | April 1, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed3286c8190a21de2ee11f2639f |
completed | March 31, 2026, 11:54 p.m. |
| PDg | Predicate description generation | batch_69cc608331f88190bcb500ff63527f8a |
completed | April 1, 2026, 12:02 a.m. |
Created at: March 30, 2026, 6:57 p.m.