Triple
T34447443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | That is no country for old men |
E884267
|
entity |
| Predicate | partOfStanza |
P202045
|
FINISHED |
| Object | first stanza of Sailing to Byzantium |
—
|
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: first stanza of Sailing to Byzantium | Statement: [That is no country for old men, partOfStanza, first stanza of Sailing to Byzantium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfStanza Context triple: [That is no country for old men, partOfStanza, first stanza of Sailing to Byzantium]
-
A.
stanzaForm
Indicates the specific structural pattern or arrangement of lines and verses used in a stanza.
-
B.
partOfFormerLine
Indicates that something was previously a segment or component of a transportation or service line that no longer exists or operates in its original form.
-
C.
numberOfOfficialStanzas
Indicates the total count of officially recognized stanzas associated with an entity, such as a song, poem, or anthem.
-
D.
partOfTrack
Indicates that something is a segment or component belonging to a larger track or route.
-
E.
partOfStyle
Indicates that one style is a component, subset, or constituent element of another, more encompassing style.
- 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_69f349c607688190b553539d14901a35 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0049e40d60819081e3899d8d9fca51 |
completed | May 10, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_6a0048c47b548190ad31b2901cc3784a |
completed | May 10, 2026, 8:58 a.m. |
| PDg | Predicate description generation | batch_6a0049e352248190b0a0bb7dfe572c2c |
completed | May 10, 2026, 9:03 a.m. |
Created at: May 1, 2026, 2 a.m.