Triple
T28507486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arch Linux Forums |
E721396
|
entity |
| Predicate | hasGuestReadingAccess |
P113317
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Arch Linux Forums, hasGuestReadingAccess, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGuestReadingAccess Context triple: [Arch Linux Forums, hasGuestReadingAccess, true]
-
A.
hasReadingRoom
Indicates that a place or facility includes a designated reading room area available for use.
-
B.
hasReadingRoomType
Indicates that an entity (such as a facility or building) has a specific type or category of reading room.
-
C.
canRead
chosen
Indicates that one entity has the ability or permission to read or access the content of another entity.
-
D.
isFreeToRead
Indicates that access to the referenced content or resource does not require payment and can be read without cost.
-
E.
containsReading
Indicates that one entity includes or encompasses a particular reading (such as a measurement, value, or interpretation) within it.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 3:10 a.m.