Triple
T1447609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodreads |
E31210
|
entity |
| Predicate | userCan |
P9928
|
FINISHED |
| Object | track reading progress |
—
|
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: track reading progress | Statement: [Goodreads, userCan, track reading progress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: userCan Context triple: [Goodreads, userCan, track reading progress]
-
A.
canUse
chosen
Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
-
B.
canAuthorize
Indicates that one entity has the power or permission to grant approval or official permission for another entity to perform an action or access a resource.
-
C.
canEnforce
Indicates that one entity has the authority or capability to compel compliance with rules, decisions, or obligations upon another entity.
-
D.
canPass
Indicates that one entity is able or permitted to move through, cross, or successfully traverse another entity or barrier.
-
E.
hasAccessTo
Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55aa7dc8190aa7452d80ec8305e |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.