Triple
T21967051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tao |
E542483
|
entity |
| Predicate | firstLineDescribedIn |
P132318
|
FINISHED |
| Object | “The Tao that can be told is not the eternal Tao” |
—
|
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: “The Tao that can be told is not the eternal Tao” | Statement: [Tao, firstLineDescribedIn, “The Tao that can be told is not the eternal Tao”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLineDescribedIn Context triple: [Tao, firstLineDescribedIn, “The Tao that can be told is not the eternal Tao”]
-
A.
firstLineMention
chosen
Indicates that the entity is mentioned in the first line of the associated text or document.
-
B.
firstDescribedAs
Indicates the original way or terms in which something was initially characterized, named, or documented.
-
C.
firstModelLineOf
Indicates that one entity is the first line of a model or modeling construct associated with another entity.
-
D.
firstLineTranslation
Indicates that one text is a translation of the first line of another text.
-
E.
firstLineOpened
Indicates that the first line of something (e.g., a document, file, or text block) has been opened or accessed.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245b821c8190816058c2a07707a3 |
completed | April 28, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 8:01 p.m.