Triple
T3293343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yobe State |
E69151
|
entity |
| Predicate | hasLocalGovernmentArea |
P8215
|
FINISHED |
| Object |
Nguru
Nguru is a town and local government area in northeastern Nigeria known as a commercial hub and railway terminus in Yobe State.
|
E345312
|
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: Nguru | Statement: [Yobe State, hasLocalGovernmentArea, Nguru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nguru Context triple: [Yobe State, hasLocalGovernmentArea, Nguru]
-
A.
Wawona
Wawona is a historic community and visitor area within Yosemite National Park in California, known for its scenic meadows, giant sequoias, and proximity to natural and cultural landmarks.
-
B.
Ronga
Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
-
C.
Gilga
Gilga is a production company known for its work on the television series "Swarm."
-
D.
Rangea
Rangea is an extinct frond-shaped organism from the Ediacaran Period, known as one of the earliest complex multicellular life forms preserved in Precambrian fossil beds.
-
E.
Nokuku
Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
- 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: Nguru Triple: [Yobe State, hasLocalGovernmentArea, Nguru]
Generated description
Nguru is a town and local government area in northeastern Nigeria known as a commercial hub and railway terminus in Yobe State.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nguru Target entity description: Nguru is a town and local government area in northeastern Nigeria known as a commercial hub and railway terminus in Yobe State.
-
A.
Wawona
Wawona is a historic community and visitor area within Yosemite National Park in California, known for its scenic meadows, giant sequoias, and proximity to natural and cultural landmarks.
-
B.
Ronga
Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
-
C.
Gilga
Gilga is a production company known for its work on the television series "Swarm."
-
D.
Rangea
Rangea is an extinct frond-shaped organism from the Ediacaran Period, known as one of the earliest complex multicellular life forms preserved in Precambrian fossil beds.
-
E.
Nokuku
Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb074f35081909dd3c8a09544b5f1 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e86895988190a7acaa5948b50bcd |
completed | March 12, 2026, 4:23 p.m. |
| NEDg | Description generation | batch_69b2ec48bf888190a5eeac0aa2cc50c3 |
completed | March 12, 2026, 4:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2ecd134e88190933e52d7f1f5be2a |
completed | March 12, 2026, 4:41 p.m. |
Created at: March 8, 2026, 3:10 p.m.