Triple
T23746110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenue of Peace |
E586817
|
entity |
| Predicate | mirCanMean |
P10718
|
FINISHED |
| Object | peace |
—
|
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: peace | Statement: [Avenue of Peace, mirCanMean, peace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mirCanMean Context triple: [Avenue of Peace, mirCanMean, peace]
-
A.
meaningViaPatricia
Indicates that something’s meaning, interpretation, or understanding is conveyed, mediated, or determined through an intermediary named Patricia.
-
B.
oniMeaning
Indicates that one entity expresses or conveys the meaning or sense of another entity (such as a word, phrase, or symbol).
-
C.
MiriMeaning
Indicates that one entity conveys or expresses a particular meaning, sense, or significance with respect to another entity.
-
D.
possibleMeaning
chosen
Indicates that something may plausibly represent, signify, or be interpreted as a particular meaning or sense.
-
E.
meaningViaRebecca
Indicates a relationship where something is understood, interpreted, or conveyed specifically through the mediation or perspective of Rebecca.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcbded748190b305fc39ed71fa3f |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:12 p.m.