Triple
T16598747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trojan Horse |
E403276
|
entity |
| Predicate | hasEffect |
P9
|
FINISHED |
| Object | fall of Troy |
E102221
|
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: fall of Troy | Statement: [Trojan Horse, hasEffect, fall of Troy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: fall of Troy Context triple: [Trojan Horse, hasEffect, fall of Troy]
-
A.
Trojan War
chosen
The Trojan War is a legendary ancient Greek conflict between the city of Troy and a coalition of Greek states, famed for its heroes, divine interventions, and central place in Greek mythology and epic poetry.
-
B.
The Destruction of Troy
The Destruction of Troy is a Middle English alliterative poem retelling the fall of Troy, notable as a key work of the Alliterative Revival in 14th-century English literature.
-
C.
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.
-
D.
Troy
"Troy" is a powerful early single by Irish singer-songwriter Sinéad O’Connor, known for its intense emotional delivery and poetic lyrics.
-
E.
Troy
Troy is a suburban city in Michigan known for its strong business community, shopping centers, and role as a key part of the Detroit metropolitan area.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d74738c81909711654cf38af150 |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d2d802881909abd846cc54f04fc |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:16 a.m.