Triple
T764817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heraclitus |
E16150
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Ephesus |
E50337
|
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: Ephesus | Statement: [Heraclitus, deathPlace, Ephesus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ephesus Context triple: [Heraclitus, deathPlace, Ephesus]
-
A.
Ephesus
chosen
Ephesus was an ancient Greek and later Roman city in Asia Minor, famed for its grand Temple of Artemis and its significance as an early center of Christianity.
-
B.
Miletus
Miletus was an ancient Greek Ionian city on the western coast of Asia Minor, renowned as a major maritime and commercial center and as the birthplace of early Greek philosophy and science.
-
C.
Smyrna
Smyrna was a major Aegean port city (modern-day İzmir in Turkey) that served as a key commercial and cultural hub in the Ottoman Empire.
-
D.
Aspendos
Aspendos is an ancient Greco-Roman city in southern Turkey renowned for its remarkably well-preserved Roman theater.
-
E.
Didyma
Didyma was an ancient Greek sanctuary in Ionia famed for its monumental Temple of Apollo and influential oracle.
- 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_69a4a69dfeb08190b54a476cfa66e6d6 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3adf1d88190acec593f0aca1ec0 |
completed | March 4, 2026, 3:14 a.m. |
Created at: March 1, 2026, 7:37 p.m.