Triple
T37148935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Syracuse |
E920312
|
entity |
| Predicate | hasAncientAmphitheatre |
P118926
|
FINISHED |
| Object | Roman Amphitheatre of Syracuse |
—
|
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: Roman Amphitheatre of Syracuse | Statement: [Municipality of Syracuse, hasAncientAmphitheatre, Roman Amphitheatre of Syracuse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAncientAmphitheatre Context triple: [Municipality of Syracuse, hasAncientAmphitheatre, Roman Amphitheatre of Syracuse]
-
A.
hasAncientTheatre
chosen
Indicates that one entity possesses or contains an ancient theatre as a notable feature or component.
-
B.
amphitheatreInstanceOf
Indicates that an entity is classified as, or is an instance of, an amphitheatre.
-
C.
amphitheatreBuiltUnder
Indicates that an amphitheatre was constructed during the rule, authority, or administration of a specified person or governing entity.
-
D.
amphitheatreFunction
Indicates the functional role or primary use that an amphitheatre serves (e.g., performances, sports, public gatherings).
-
E.
hasRomanMonument
Indicates that one entity possesses, contains, or includes a monument of Roman origin or style.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: May 3, 2026, 4:15 p.m.