Triple
T9272688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brehon law |
E222868
|
entity |
| Predicate | disfavors |
P2184
|
FINISHED |
| Object | capital punishment |
—
|
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: capital punishment | Statement: [Brehon law, disfavors, capital punishment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disfavors Context triple: [Brehon law, disfavors, capital punishment]
-
A.
dislikes
Indicates that one entity has a negative feeling or aversion toward another entity.
-
B.
disadvantage
Indicates that one entity is in a less favorable, weaker, or hindered position relative to another in a given context.
-
C.
negates
Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
-
D.
discourages
chosen
Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
-
E.
dissolvedInFavorOf
Indicates that one entity has been formally terminated, annulled, or discontinued in order to benefit, support, or be replaced by another entity.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0787d2e48190ad56cf3abf12d409 |
completed | April 1, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:33 p.m.