Triple
T3756953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chronicle |
E82070
|
entity |
| Predicate | Book1Content |
P50769
|
FINISHED |
| Object | summary of historical narratives from various peoples |
—
|
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: summary of historical narratives from various peoples | Statement: [Chronicle, Book1Content, summary of historical narratives from various peoples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Book1Content Context triple: [Chronicle, Book1Content, summary of historical narratives from various peoples]
-
A.
book5Content
Indicates that one entity is the content or textual material contained within the book represented by the other entity.
-
B.
book7Content
Indicates that an entity contains or represents the content of book 7 in a series or collection.
-
C.
book3Title
Indicates the title assigned to the third book in a sequence or collection associated with an entity.
-
D.
book5Title
Indicates the title assigned to the book identified as "book5."
-
E.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
- 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_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. |
| PDg | Predicate description generation | batch_69adc0fe3e3c8190bd886c7745c172a0 |
completed | March 8, 2026, 6:33 p.m. |
Created at: March 8, 2026, 3:35 p.m.