Triple
T3756954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chronicle |
E82070
|
entity |
| Predicate | Book2Content |
P16933
|
FINISHED |
| Object | parallel chronological tables of different nations |
—
|
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: parallel chronological tables of different nations | Statement: [Chronicle, Book2Content, parallel chronological tables of different nations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Book2Content Context triple: [Chronicle, Book2Content, parallel chronological tables of different nations]
-
A.
bookWriter
Indicates that a person is the author who wrote the specified book.
-
B.
book2Focus
Indicates that attention, interest, or emphasis is directed toward a particular book.
-
C.
book5Content
chosen
Indicates that one entity is the content or textual material contained within the book represented by the other entity.
-
D.
book2Subject
Indicates that an entity serves as the subject or topic that a given book is about.
-
E.
book7Content
Indicates that an entity contains or represents the content of book 7 in a series or collection.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbbe7a6081909b0f835a77941300 |
completed | March 8, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69adc04c851c8190ae5eaebf36df539b |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.