Triple
T7282154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cim Bom |
E163174
|
entity |
| Predicate | writtenForm |
P2203
|
FINISHED |
| Object | "Cim Bom" |
E163174
|
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: "Cim Bom" | Statement: [Cim Bom, writtenForm, "Cim Bom"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Cim Bom" Context triple: [Cim Bom, writtenForm, "Cim Bom"]
-
A.
Cim Bom
chosen
Cim Bom is a popular nickname for Galatasaray SK, one of Turkey’s most successful and widely supported football clubs.
-
B.
La Bomba
La Bomba is the famous nickname of Spanish basketball legend Juan Carlos Navarro, renowned for his explosive scoring and clutch shooting.
-
C.
"Boum Boum Boum"
"Boum Boum Boum" is a pop single by British-Lebanese singer-songwriter Mika, known for its playful, romantic lyrics and catchy, upbeat production.
-
D.
Bomba
Bomba is a traditional Afro-Puerto Rican musical and dance genre characterized by call-and-response singing, barrel drums, and improvisational interaction between dancers and drummers.
-
E.
Bum Bum
"Bum Bum" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its danceable rhythm and energetic, party-themed vibe.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb4d3e3c8190a05cb5af5f52bd75 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db3ae6a08190820c7096cbfea521 |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:59 p.m.