Triple
T7689735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V for Victory sign |
E174213
|
entity |
| Predicate | hasLetterAssociation |
P17387
|
FINISHED |
| Object | Latin letter V |
—
|
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: Latin letter V | Statement: [V for Victory sign, hasLetterAssociation, Latin letter V]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLetterAssociation Context triple: [V for Victory sign, hasLetterAssociation, Latin letter V]
-
A.
hasLetterBy
Indicates that an entity possesses or is associated with a letter authored or sent by another entity.
-
B.
hasLetter
chosen
Indicates that one entity contains, includes, or is associated with a specific letter or character.
-
C.
hasLetterDesignation
Indicates that an entity is assigned or associated with a specific letter-based designation or code.
-
D.
hasLetterCount
Indicates that an entity is associated with a specific number representing how many letters it contains.
-
E.
hasAdditionalLetters
Indicates that one entity contains extra or more letters than another entity, beyond a specified base set or reference.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:02 p.m.