Triple
T3821029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loeb Classical Library |
E84372
|
entity |
| Predicate | originalTextOn |
P52480
|
FINISHED |
| Object | left-hand page |
—
|
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: left-hand page | Statement: [Loeb Classical Library, originalTextOn, left-hand page]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTextOn Context triple: [Loeb Classical Library, originalTextOn, left-hand page]
-
A.
originalText
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
-
B.
originalTextStatus
Indicates the relationship between a text and its current state or condition relative to its original, unmodified form.
-
C.
originalTextLanguage
Indicates the language in which a text was originally written or created before any translation or adaptation.
-
D.
basedOnText
Indicates that something is derived, adapted, or developed from a specific text source.
-
E.
originalLine
Indicates that one entity is the initial or source version of a line from which other versions or derivatives may originate.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee74a2bc081909b237df8b1e27653 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef18748648190b85e62f7796ff4b4 |
completed | March 9, 2026, 4:12 p.m. |
Created at: March 9, 2026, 3:17 p.m.