Triple
T8229986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia Engastromenos |
E192264
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | ancient Troy |
E459176
|
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: ancient Troy | Statement: [Sophia Engastromenos, associatedWith, ancient Troy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ancient Troy Context triple: [Sophia Engastromenos, associatedWith, ancient Troy]
-
A.
Troja
Troja is a district in Prague known for hosting several academic and research facilities, including parts of Charles University’s Faculty of Mathematics and Physics.
-
B.
Ilion
Ilion is a suburban municipality in the Athens metropolitan area of Greece, located within the West Athens regional unit.
-
C.
Troyan
Troyan is a town in central Bulgaria, known for its proximity to the Balkan Mountains, traditional crafts, and the nearby Troyan Monastery.
-
D.
Troy, ancient city
chosen
Troy was a legendary ancient city in Anatolia, best known as the setting of the Trojan War in Greek mythology and the focus of Homer's epic poem the Iliad.
-
E.
Troy
Troy is a historic city in eastern New York State, known for its 19th-century architecture and role in the Industrial Revolution as a major manufacturing center.
- 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_69ca82db5b90819085d1ad7c2e27bfcc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7802417c81908837c31136c41a5c |
completed | March 31, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd34de56688190a7c33bbcb12cd7c1 |
completed | April 1, 2026, 3:08 p.m. |
Created at: March 30, 2026, 5:46 p.m.