Triple
T37816454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palermo–Messina railway |
E942788
|
entity |
| Predicate | connectsToRegionalCapital |
P201573
|
FINISHED |
| Object | Palermo |
—
|
NE NERFINISHED |
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: Palermo | Statement: [Palermo–Messina railway, connectsToRegionalCapital, Palermo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsToRegionalCapital Context triple: [Palermo–Messina railway, connectsToRegionalCapital, Palermo]
-
A.
connectsCapitalOf
Indicates a relationship where one entity serves as the capital city of another entity, linking the capital to the political or administrative unit it represents.
-
B.
isInProvinceWithCapital
Indicates that a place is located within a province whose administrative capital is a specified city.
-
C.
isDistrictCapitalOf
Indicates that a location serves as the administrative or governmental capital of a specified district.
-
D.
governingCountryCapitalConnectedTo
Indicates that the capital city of the governing country is directly connected (e.g., via infrastructure, transport, or communication links) to the referenced location or entity.
-
E.
capitalOftenLocatedIn
Indicates that the capital city of a region or country is frequently, though not always, situated within a particular location or type of area.
- F. None of above. chosen
Provenance (4 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00053d8004819097ad9cf6431a20a3 |
completed | May 10, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_6a0004b3a82c81908e2bf9a533a93eb6 |
completed | May 10, 2026, 4:08 a.m. |
| PDg | Predicate description generation | batch_6a00053cdcb08190980df73e235e9ad8 |
completed | May 10, 2026, 4:10 a.m. |
Created at: May 3, 2026, 4:19 p.m.