Triple
T3028199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnetes |
E82830
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Magnesia |
E73188
|
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: Magnesia | Statement: [Magnetes, locatedIn, Magnesia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magnesia Context triple: [Magnetes, locatedIn, Magnesia]
-
A.
Magnesia
chosen
Magnesia is a historical coastal region in eastern Thessaly, Greece, known for its mountainous Pelion peninsula and ancient cities such as Iolcus and Demetrias.
-
B.
Phosphoros
Phosphoros is an epithet meaning “light-bringer,” associated with Hecate in her aspect as a luminous, guiding deity linked to the appearance of the morning star.
-
C.
Calca
Calca is a small Andean town in Peru’s Sacred Valley, known for its traditional Quechua culture and proximity to Inca archaeological sites.
-
D.
Ankyra
Ankyra is the ancient name of the city that later became Ankara, the capital of modern Turkey.
-
E.
Tauresium
Tauresium was an ancient settlement in the Balkans, traditionally identified as the birthplace of the Byzantine emperor Justinian I.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abea8f4819090554d7319778170 |
completed | March 8, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1deb9c9548190b3d36803432b84f6 |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 3 p.m.