Triple
T1720673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cayo Luis Peña |
E37381
|
entity |
| Predicate | hasActivityRestriction |
P99
|
FINISHED |
| Object | limited visitor facilities |
—
|
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: limited visitor facilities | Statement: [Cayo Luis Peña, hasActivityRestriction, limited visitor facilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasActivityRestriction Context triple: [Cayo Luis Peña, hasActivityRestriction, limited visitor facilities]
-
A.
hasSemanticRestriction
Indicates that a concept or relation is constrained in meaning or usage by specific semantic conditions or limitations.
-
B.
hasLimitation
chosen
Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
-
C.
hasDisabledAccess
Indicates that an entity provides facilities, features, or accommodations that make it accessible to people with disabilities.
-
D.
hasCitizenshipRestriction
Indicates that there is a legal or policy-based limitation on who can obtain or hold citizenship in a given context.
-
E.
demographicRestriction
Indicates that participation, access, or applicability is limited or conditioned based on specific demographic characteristics (such as age, gender, ethnicity, or similar attributes).
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.