Triple
T9989413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allahabad Address |
E196846
|
entity |
| Predicate | deliveredByOccupation |
P91446
|
FINISHED |
| Object | poet-philosopher |
—
|
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: poet-philosopher | Statement: [Allahabad Address, deliveredByOccupation, poet-philosopher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deliveredByOccupation Context triple: [Allahabad Address, deliveredByOccupation, poet-philosopher]
-
A.
deliveredBy
Indicates that something (such as a product, message, or service) is brought, transported, or provided to its destination by a specified agent or carrier.
-
B.
deliveredFrom
Indicates that something has been sent, transported, or provided from a particular source or origin to another party or location.
-
C.
recipientOccupation
Indicates that the object specifies the job, profession, or role held by the recipient in the described relationship or event.
-
D.
deliveredAs
Indicates that something is provided, transmitted, or presented in a particular form, manner, or role.
-
E.
endedOccupationOf
Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdc79f3df08190ab3094ad1cd5490f |
completed | April 2, 2026, 1:34 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:50 p.m.