Triple
T31154930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaza de la Vigía |
E794176
|
entity |
| Predicate | hasTypicalAccessCost |
P133718
|
FINISHED |
| Object | free |
—
|
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: free | Statement: [Plaza de la Vigía, hasTypicalAccessCost, free]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalAccessCost Context triple: [Plaza de la Vigía, hasTypicalAccessCost, free]
-
A.
hasCost
Indicates that one entity requires a specified amount of resources (such as money, time, or effort) to be obtained, used, or maintained by another entity.
-
B.
hasTypicalAccess
Indicates that one entity normally or customarily has the ability, permission, or means to access or use another entity.
-
C.
accessibleForFreeOrPaid
chosen
Indicates that the subject can be accessed either without cost or by paying a fee.
-
D.
typicalRate
Indicates the standard or commonly expected rate at which something occurs, is charged, or is applied in a given context.
-
E.
typeOfAccess
Indicates the specific kind or level of access that one entity has to another (such as read, write, or execute permissions).
- 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_69f224d41bb48190a5621cd1485e3a30 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
Created at: April 29, 2026, 9:06 p.m.