Triple
T3541123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lampsacus |
E74886
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Mysia |
E174451
|
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: Mysia | Statement: [Lampsacus, locatedIn, Mysia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mysia Context triple: [Lampsacus, locatedIn, Mysia]
-
A.
Mysia
chosen
Mysia was an ancient region in northwestern Asia Minor, along the coast of the Sea of Marmara and the Aegean Sea, known from Greek and Roman historical and mythological sources.
-
B.
Argithea
Argithea is a municipality in the mountainous region of Thessaly in central Greece, known for its traditional villages and natural landscapes.
-
C.
Aegae
Aegae was the ancient royal city of Macedon and the original seat of the Argead dynasty, known for its palace complex and royal tombs.
-
D.
Kranidi
Kranidi is a coastal town in the Argolid region of the Peloponnese in Greece, known as a local administrative and commercial center near popular seaside resorts like Porto Heli.
-
E.
Taurica
Taurica is the ancient name for the Crimean Peninsula, historically known as a Greek and later Roman-influenced region on the northern coast of the Black Sea.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf729000819086e4fdba9e73e198 |
completed | March 8, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb8b7fac81908c18d3f868aeba44 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 8, 2026, 3:20 p.m.