Triple
T13057571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Leyte |
E327617
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Kananga
Kananga is a municipality in the province of Leyte in the Philippines, known for its agricultural lands and proximity to the geothermal power resources of the Leyte region.
|
E1018461
|
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: Kananga | Statement: [Northern Leyte, containsCity, Kananga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kananga Context triple: [Northern Leyte, containsCity, Kananga]
-
A.
Kananga
Kananga is the primary antagonist and Caribbean dictator in the James Bond film "Live and Let Die," who operates under the alias Mr. Big as a powerful drug lord.
-
B.
Kananga
Kananga is a major city in the Democratic Republic of the Congo and the capital of Kasai-Central Province.
-
C.
Gokwe
Gokwe is a town in central Zimbabwe known for its cotton farming and role as a commercial hub in the Midlands Province.
-
D.
Kasangati
Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
-
E.
Chilombo
Chilombo is the surname of American R&B singer and songwriter Jhené Aiko, reflecting her mixed Japanese, African American, and Native American heritage.
- 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: Kananga Triple: [Northern Leyte, containsCity, Kananga]
Generated description
Kananga is a municipality in the province of Leyte in the Philippines, known for its agricultural lands and proximity to the geothermal power resources of the Leyte region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kananga Target entity description: Kananga is a municipality in the province of Leyte in the Philippines, known for its agricultural lands and proximity to the geothermal power resources of the Leyte region.
-
A.
Kananga
Kananga is the primary antagonist and Caribbean dictator in the James Bond film "Live and Let Die," who operates under the alias Mr. Big as a powerful drug lord.
-
B.
Kananga
Kananga is a major city in the Democratic Republic of the Congo and the capital of Kasai-Central Province.
-
C.
Gokwe
Gokwe is a town in central Zimbabwe known for its cotton farming and role as a commercial hub in the Midlands Province.
-
D.
Kasangati
Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
-
E.
Chilombo
Chilombo is the surname of American R&B singer and songwriter Jhené Aiko, reflecting her mixed Japanese, African American, and Native American heritage.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980bd305c8190bcf191b2d35ec8de |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe0bf3081909ff498ac66cb2aa6 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cd0e88e08190a07468336bb624f0 |
completed | May 3, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ce23ca208190960409130c4c52a9 |
completed | May 3, 2026, 4:25 a.m. |
Created at: April 9, 2026, 8:58 p.m.