Triple
T9300131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Bonaventure |
E223737
|
entity |
| Predicate | destination |
P1522
|
FINISHED |
| Object | Muscovy |
E36313
|
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: Muscovy | Statement: [Edward Bonaventure, destination, Muscovy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muscovy Context triple: [Edward Bonaventure, destination, Muscovy]
-
A.
Muscovy
chosen
Muscovy was a late medieval and early modern Russian principality centered on Moscow that expanded to form the core of the Russian state.
-
B.
Mahuva
Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
-
C.
Pekela
Pekela is a municipality in the province of Groningen in the northeastern Netherlands, known for its rural character and historical peat colonies.
-
D.
Pike
Pike is an English surname of Old English origin, often associated with people who lived near a pointed hill or carried a pike as a weapon.
-
E.
Illiger
Illiger is the standard taxonomic author abbreviation for Johann Karl Wilhelm Illiger, a German zoologist and entomologist known for his early 19th-century work in animal classification.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d070c881908bed41aada6f85ae |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b25ac97881908751b466b370b7e5 |
completed | April 4, 2026, 6:40 a.m. |
Created at: March 30, 2026, 7:36 p.m.