Triple
T12099797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaba |
E288160
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Sabo
Sabo is a prominent commercial and residential district in Lagos, Nigeria, known for its bustling markets, businesses, and diverse population.
|
E963677
|
NE FINISHED |
How this triple was built (4 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: Sabo | Statement: [Yaba, borderedBy, Sabo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabo Context triple: [Yaba, borderedBy, Sabo]
-
A.
Sabo
Sabo is a surname most notably associated with Chris Sabo, a former Major League Baseball third baseman for the Cincinnati Reds.
-
B.
Santoro
Santoro is an Italian-origin surname borne by various notable individuals across fields such as acting, sports, and politics.
-
C.
Shabo
Shabo is a nearly extinct and poorly documented language isolate spoken by a small community in southwestern Ethiopia.
-
D.
Santino
Santino is a masculine given name of Italian origin, often associated with the actor and singer Santino Fontana.
-
E.
Namir
Namir is a Hebrew surname most notably associated with Israeli politician and former Tel Aviv mayor Mordechai Namir.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sabo Triple: [Yaba, borderedBy, Sabo]
Generated description
Sabo is a prominent commercial and residential district in Lagos, Nigeria, known for its bustling markets, businesses, and diverse population.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sabo Target entity description: Sabo is a prominent commercial and residential district in Lagos, Nigeria, known for its bustling markets, businesses, and diverse population.
-
A.
Sabo
Sabo is a surname most notably associated with Chris Sabo, a former Major League Baseball third baseman for the Cincinnati Reds.
-
B.
Santoro
Santoro is an Italian-origin surname borne by various notable individuals across fields such as acting, sports, and politics.
-
C.
Shabo
Shabo is a nearly extinct and poorly documented language isolate spoken by a small community in southwestern Ethiopia.
-
D.
Santino
Santino is a masculine given name of Italian origin, often associated with the actor and singer Santino Fontana.
-
E.
Namir
Namir is a Hebrew surname most notably associated with Israeli politician and former Tel Aviv mayor Mordechai Namir.
- F. None of above. chosen
Provenance (5 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9155465388190bbe52453c9b11912 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6724de481909fe29e3278136ea2 |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f5fe53d47c8190896a9abf8cc4bc31 |
completed | May 2, 2026, 1:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f5ffc563a08190b95db768df475a3a |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 8, 2026, 9:48 p.m.