Triple
T3479652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mongol invasion of Poland |
E73458
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Baiju |
E357257
|
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: Baiju | Statement: [Mongol invasion of Poland, commander, Baiju]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baiju Context triple: [Mongol invasion of Poland, commander, Baiju]
-
A.
Baiju
chosen
Baiju was a 13th-century Mongol general who led Mongol forces in their campaigns into Eastern Europe.
-
B.
Obi
Obi is a local government area and town in Benue State, Nigeria, traditionally associated with and inhabited by the Idoma people.
-
C.
Ziro
Ziro is a picturesque valley town in northeastern India known for its Apatani tribal culture, rice fields, and the annual Ziro Music Festival.
-
D.
Banzi
Banzi is a town in the Basilicata region of southern Italy, known as the modern site near the ancient Lucanian city of Bantia.
-
E.
Chewbacca
Chewbacca is a towering Wookiee warrior and loyal co-pilot of the Millennium Falcon, best known as Han Solo’s steadfast companion in the Star Wars franchise.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb7461708190898002fbd1191f34 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3681b30b48190918d2821a8383229 |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.