Triple
T32460139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lifting as We Climb |
E829547
|
entity |
| Predicate | hasLiteralText |
P7166
|
FINISHED |
| Object | Lifting as We Climb |
—
|
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: Lifting as We Climb | Statement: [Lifting as We Climb, hasLiteralText, Lifting as We Climb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiteralText Context triple: [Lifting as We Climb, hasLiteralText, Lifting as We Climb]
-
A.
hasLiteralReferent
Indicates that a linguistic expression directly refers to a specific, concrete entity or value rather than to an abstract or interpreted meaning.
-
B.
hasText
chosen
Indicates that an entity is associated with or contains a specific piece of textual content.
-
C.
hasLiteralMeaning
Indicates that one entity expresses the direct, explicit meaning or sense of another entity (such as a word, phrase, or symbol).
-
D.
hasNoText
Indicates that the referenced entity or element contains no textual content.
-
E.
hasTextualCharacter
Indicates that something possesses or exhibits the qualities of written or printed text, such as letters, symbols, or characters.
- 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: May 1, 2026, 12:57 a.m.