Triple
T21512324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niger Bend |
E530757
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Timbuktu |
—
|
NE NERFINISHED |
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: Timbuktu | Statement: [Niger Bend, hasCity, Timbuktu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timbuktu Context triple: [Niger Bend, hasCity, Timbuktu]
-
A.
Timbuktu
chosen
Timbuktu is an ancient city in Mali famed as a historic center of trans-Saharan trade and Islamic scholarship.
-
B.
Timbuktu!
Timbuktu! is a 1978 Broadway musical adaptation of Kismet, set in the African kingdom of Mali and originally starring Eartha Kitt.
-
C.
Djenné Songhay
Djenné Songhay is a regional variety of the Songhay language spoken around the town of Djenné in Mali.
-
D.
Djenné
Djenné is an ancient Malian town renowned for its mud-brick architecture and historic Great Mosque, a UNESCO World Heritage site and one of the most famous examples of Sudano-Sahelian architecture.
-
E.
Birgu
Birgu is a historic fortified city in Malta, renowned for its strategic harbor position and pivotal role in the island’s military and maritime history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea8779c081908171c58d345d54ae |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.