Triple
T9749415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bittou |
E236400
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object | Bittou |
E236400
|
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: Bittou | Statement: [Bittou, officialName, Bittou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bittou Context triple: [Bittou, officialName, Bittou]
-
A.
Bittou
chosen
Bittou is a town in Burkina Faso known for its role as a regional trading center and its international town-twinning links with European municipalities.
-
B.
Bittan
Bittan is a surname most notably associated with Roy Bittan, the longtime keyboardist for Bruce Springsteen's E Street Band.
-
C.
Boutmy
Boutmy is a French surname most notably associated with Émile Boutmy, the founder of the Paris Institute of Political Studies (Sciences Po).
-
D.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
E.
Yassa
Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f6a2f8c8190a6f6af6587ee90b8 |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcd2e08c8190808b58fdabe0c9d3 |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:23 p.m.