Triple
T32233052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Z service |
E823391
|
entity |
| Predicate | introducedAsLetter |
P193893
|
FINISHED |
| Object | Z |
—
|
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: Z | Statement: [Z service, introducedAsLetter, Z]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedAsLetter Context triple: [Z service, introducedAsLetter, Z]
-
A.
letterRepresents
Indicates that a particular letter or character stands for, symbolizes, or denotes a specific value, concept, or entity.
-
B.
introducedAsFirst
Indicates that one entity is presented or mentioned before any others in a given context or sequence.
-
C.
firstLetter
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
-
D.
introducedAsNameIn
Indicates that an entity is presented or referred to by a particular name within a specified context or source.
-
E.
usesLettersFrom
Indicates that one entity is formed or constructed using the letters that appear in 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_69f3490c140481908ed53b98b561eaa1 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
| PDg | Predicate description generation | batch_69fd592cc56081908ce456114d407616 |
completed | May 8, 2026, 3:31 a.m. |
Created at: May 1, 2026, 12:39 a.m.