Triple
T6823879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nane Maria Annan |
E156965
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Annan |
E156960
|
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: Annan | Statement: [Nane Maria Annan, familyName, Annan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annan Context triple: [Nane Maria Annan, familyName, Annan]
-
A.
Annan
chosen
Annan is the surname of Kofi Annan, the Ghanaian diplomat and former Secretary-General of the United Nations.
-
B.
Annan
Annan is a small coastal town and former royal burgh in Dumfries and Galloway in southwest Scotland, situated near the mouth of the River Annan.
-
C.
Annan District
Annan District is a coastal urban district in Tainan, Taiwan, known for its wetlands, historical sites, and traditional fishing villages.
-
D.
Nayki
Nayki is an island located within Lake Rakshastal in the Tibet Autonomous Region of China.
-
E.
Alnôba
Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d580ca448190aa6d52908ca50e39 |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c77056c8190b2448453dfb97894 |
completed | March 28, 2026, 9:16 a.m. |
Created at: March 27, 2026, 2:18 p.m.