Triple
T7689736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V for Victory sign |
E174213
|
entity |
| Predicate | representsWord |
P53520
|
FINISHED |
| Object | victory |
—
|
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: victory | Statement: [V for Victory sign, representsWord, victory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsWord Context triple: [V for Victory sign, representsWord, victory]
-
A.
fieldRepresents
chosen
Indicates that one field or attribute stands for, encodes, or symbolizes another concept, value, or entity.
-
B.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
C.
usesWord
Indicates that one entity employs, contains, or makes use of a particular word in its expression, content, or communication.
-
D.
representsInRelationsWith
Indicates that an entity serves as a representative or proxy for another entity within a specified relationship or set of relationships.
-
E.
word1
Indicates that there is a first word in a sequence or pair that participates in the specified relationship.
- 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.