Triple
T8584818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space and Time (chapter) |
E203277
|
entity |
| Predicate | orderInWork |
P59025
|
FINISHED |
| Object | early chapter in A Brief History of Time |
—
|
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: early chapter in A Brief History of Time | Statement: [Space and Time (chapter), orderInWork, early chapter in A Brief History of Time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderInWork Context triple: [Space and Time (chapter), orderInWork, early chapter in A Brief History of Time]
-
A.
orderInOffice
Indicates that one entity holds a specific sequential position or rank within a defined term or period of holding an office or official role.
-
B.
order
Indicates that one entity requests, arranges, or directs that another entity provide a good, service, or action, typically in a specified sequence or priority.
-
C.
orderFounded
Indicates that an organization or group was established or created at a specific time or by a specific entity.
-
D.
orderDisplayed
Indicates that a particular order is currently being shown or presented in a user interface or display context.
-
E.
sequenceInWork
chosen
Indicates that one work appears as a sequential part or installment within a larger overarching work.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1fa0048190996a1dc6b2cb6d68 |
completed | March 31, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:22 p.m.