Triple
T18984477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loudoun County Public Library |
E464516
|
entity |
| Predicate | hasLibraryCardEligibility |
P97421
|
FINISHED |
| Object | residents of Loudoun County |
—
|
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: residents of Loudoun County | Statement: [Loudoun County Public Library, hasLibraryCardEligibility, residents of Loudoun County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLibraryCardEligibility Context triple: [Loudoun County Public Library, hasLibraryCardEligibility, residents of Loudoun County]
-
A.
eligibilityLevel
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
-
B.
isLendingLibrary
Indicates that an entity functions as a library that lends items (such as books or media) to users.
-
C.
canBorrowFrom
Indicates that one entity is permitted or able to borrow something (such as resources, items, or privileges) from another entity.
-
D.
hasLibraryBranch
Indicates that an entity possesses or is associated with one or more library branches as part of its organizational structure or services.
-
E.
cardEligibility
chosen
Indicates whether an entity qualifies for or is allowed to receive a particular card under specified criteria.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65ec0bc8190b878252b1b4c3620 |
completed | April 20, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.