Triple
T3468255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnesia |
E73188
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Pherae |
E78256
|
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: Pherae | Statement: [Magnesia, contains, Pherae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pherae Context triple: [Magnesia, contains, Pherae]
-
A.
Pherae
chosen
Pherae was an ancient Greek city in Thessaly known for its political influence and as the seat of the powerful tyrant Jason of Pherae.
-
B.
Pella
Pella is a well-known American brand specializing in the design and manufacture of windows and doors for residential and commercial buildings.
-
C.
Heraclea
Heraclea was an important ancient Greek city in southern Italy’s Lucania region, known for its strategic location and role in Magna Graecia.
-
D.
Oropos
Oropos is a coastal town and municipality in northeastern Attica, Greece, situated opposite the island of Euboea and known for its archaeological sites and seaside resorts.
-
E.
Ascra
Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb11ec5881908347bf92883a25ee |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e5c1f008190b1351e3d3e53fc11 |
completed | March 13, 2026, 3:02 a.m. |
Created at: March 8, 2026, 3:17 p.m.