Triple
T10078528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panionion |
E213835
|
entity |
| Predicate | gatheredCities |
P91961
|
FINISHED |
| Object | Myus |
E157091
|
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: Myus | Statement: [Panionion, gatheredCities, Myus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myus Context triple: [Panionion, gatheredCities, Myus]
-
A.
Myus
chosen
Myus was an ancient Greek city of Ionia located near the mouth of the Maeander River in western Anatolia.
-
B.
Myaso
Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
-
C.
Myloi
Myloi is a modern Greek village located near the archaeological site of ancient Lerna in the Peloponnese.
-
D.
Myal
Myal is an Afro-Caribbean spiritual tradition originating among enslaved Africans in Jamaica, characterized by spirit possession, healing rituals, and resistance to oppression.
-
E.
Mysen
Mysen is a small town in Indre Østfold municipality in southeastern Norway, known as a local commercial and transport hub on the Østfold railway line.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd030a0fc819084b523e8e63636fa |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29ad05bbc8190b103d66c9e786c86 |
completed | April 5, 2026, 5:24 p.m. |
Created at: March 30, 2026, 9 p.m.