Triple
T34849708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isola di Capo Passero |
E1004565
|
entity |
| Predicate | hasLighthouseFunction |
P75865
|
FINISHED |
| Object | aid to navigation |
—
|
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: aid to navigation | Statement: [Isola di Capo Passero, hasLighthouseFunction, aid to navigation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLighthouseFunction Context triple: [Isola di Capo Passero, hasLighthouseFunction, aid to navigation]
-
A.
lighthouseFunction
chosen
Indicates that an entity serves as a lighthouse, providing navigational guidance or warning signals to other entities (such as ships or aircraft).
-
B.
hasLightHouse
Indicates that one place or structure possesses, contains, or is associated with a lighthouse.
-
C.
hasLFunction
Indicates that an entity possesses or is associated with a specific L-function, typically representing a complex analytic function linked to its arithmetic or geometric properties.
-
D.
lighthouseBuiltIn
Indicates that a lighthouse was constructed or established in a specific location or during a specific time period.
-
E.
hasLumen
Indicates that one entity possesses or is characterized by a specific luminous intensity or light output measured in lumens.
- 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
Created at: May 3, 2026, 4 p.m.