Triple
T10759099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Anzen |
E253777
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Dazimon
Dazimon was a strategic site in eastern Anatolia that served as the battlefield for a major 9th-century clash between the Byzantine Empire and the Abbasid Caliphate.
|
E882871
|
NE FINISHED |
How this triple was built (4 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: Dazimon | Statement: [Battle of Anzen, location, Dazimon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dazimon Context triple: [Battle of Anzen, location, Dazimon]
-
A.
Daymian
Daymian is a masculine given name, typically considered a modern spelling variant of Damian.
-
B.
Azdak
Azdak is a shrewd, unorthodox village judge whose rough-edged wisdom and sense of justice drive the central conflict in Bertolt Brecht’s play "The Caucasian Chalk Circle."
-
C.
Nandaimon
Nandaimon is the grand southern main gate of Tōdai-ji temple in Nara, Japan, renowned for its monumental wooden structure and guardian statues.
-
D.
Mirzam
Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
-
E.
Damous
Damous is a coastal town and commune in northern Algeria known for its Mediterranean setting and role as a local administrative and commercial center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dazimon Triple: [Battle of Anzen, location, Dazimon]
Generated description
Dazimon was a strategic site in eastern Anatolia that served as the battlefield for a major 9th-century clash between the Byzantine Empire and the Abbasid Caliphate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dazimon Target entity description: Dazimon was a strategic site in eastern Anatolia that served as the battlefield for a major 9th-century clash between the Byzantine Empire and the Abbasid Caliphate.
-
A.
Daymian
Daymian is a masculine given name, typically considered a modern spelling variant of Damian.
-
B.
Azdak
Azdak is a shrewd, unorthodox village judge whose rough-edged wisdom and sense of justice drive the central conflict in Bertolt Brecht’s play "The Caucasian Chalk Circle."
-
C.
Nandaimon
Nandaimon is the grand southern main gate of Tōdai-ji temple in Nara, Japan, renowned for its monumental wooden structure and guardian statues.
-
D.
Mirzam
Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
-
E.
Damous
Damous is a coastal town and commune in northern Algeria known for its Mediterranean setting and role as a local administrative and commercial center.
- F. None of above. chosen
Provenance (5 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72ea21c5081908babc049d0330a75 |
completed | April 9, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbdbc3780c819092337924e2ae90f8 |
completed | April 12, 2026, 5:52 p.m. |
| NEDg | Description generation | batch_69dd4367104c8190b83a7877be011b11 |
completed | April 13, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de01eae1bc819092dcd48328eea943 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 8, 2026, 9:16 p.m.