Triple
T6042579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nemo |
E134580
|
entity |
| Predicate | logicalMeaning |
P68350
|
FINISHED |
| Object | there does not exist any person |
—
|
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: there does not exist any person | Statement: [Nemo, logicalMeaning, there does not exist any person]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logicalMeaning Context triple: [Nemo, logicalMeaning, there does not exist any person]
-
A.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
B.
commonMeaning
Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
-
C.
possibleMeaning
Indicates that something may plausibly represent, signify, or be interpreted as a particular meaning or sense.
-
D.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
-
E.
apMeaning
Indicates that one entity expresses, conveys, or signifies the meaning or semantic content of another entity.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e108fc81908775d176ff960fad |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:08 p.m.