Triple
T23348627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bakweri |
E591940
|
entity |
| Predicate | majorTownInTerritory |
P50268
|
FINISHED |
| Object | Tiko |
—
|
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: Tiko | Statement: [Bakweri, majorTownInTerritory, Tiko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiko Context triple: [Bakweri, majorTownInTerritory, Tiko]
-
A.
Tiko
chosen
Tiko is a coastal town and port in southwestern Cameroon known for its agricultural activities and role as a transport hub.
-
B.
Tico
Tico is a character from the comedy television series "Los Espookys," known for his laid-back personality and supportive role within the show's eccentric ensemble.
-
C.
Tico
Tico is a friendly Spanish-speaking squirrel character from the children's animated series "Dora the Explorer," known for helping Dora and her friends with his car and other vehicles.
-
D.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
E.
Tiki
Tiki is a former NFL running back best known for his prolific career with the New York Giants and subsequent work as a television and radio personality.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f199cb2a3c8190a5c0c8d8735256c7 |
completed | April 29, 2026, 5:40 a.m. |
Created at: April 17, 2026, 5:19 p.m.