Triple
T4063552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I like to see it lap the Miles |
E86270
|
entity |
| Predicate | containsStanzas |
P4983
|
FINISHED |
| Object | four |
—
|
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: four | Statement: [I like to see it lap the Miles, containsStanzas, four]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsStanzas Context triple: [I like to see it lap the Miles, containsStanzas, four]
-
A.
numberOfOfficialStanzas
chosen
Indicates the total count of officially recognized stanzas associated with an entity, such as a song, poem, or anthem.
-
B.
containsPoem
Indicates that one entity includes or holds a poem as part of its contents.
-
C.
containsNumberOfPoems
Indicates that one entity includes or specifies a particular quantity of poems associated with it.
-
D.
hasFragments
Indicates that an entity is composed of, contains, or is associated with one or more smaller constituent parts or pieces.
-
E.
lineCountPerStanza
Indicates the number of lines contained in each stanza of a poem or song.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90438908190a005b08ba271eacf |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.