Triple
T759750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Andrew |
E16039
|
entity |
| Predicate | diedIn |
P21
|
FINISHED |
| Object | Patras |
E79038
|
NE 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: Patras | Statement: [Saint Andrew, diedIn, Patras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patras Context triple: [Saint Andrew, diedIn, Patras]
-
A.
Patras
chosen
Patras is a major Greek city in the northern Peloponnese, known as a key commercial and passenger port linking western Greece with the Ionian Islands and Italy.
-
B.
Volos
Volos is a coastal city in central Greece known as a major commercial and passenger port on the Aegean Sea.
-
C.
Nafplion
Nafplion is a historic seaport town in the Peloponnese region of Greece that served as the first capital of the modern Greek state.
-
D.
Ioannina
Ioannina is a historic city in northwestern Greece known for its long-standing Romaniote Jewish community, medieval castle, and lakeside setting.
-
E.
Karditsa
Karditsa is a city in central Greece known for its flat terrain, cycling culture, and role as an agricultural and commercial hub of the Thessaly region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a68158508190998da10e69252662 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826c85e008190a7bba05607312192 |
completed | March 4, 2026, 12:34 p.m. |
Created at: March 1, 2026, 7:37 p.m.