Triple
T5948132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Region (Cameroon) |
E132329
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Pitoa
Pitoa is a town in northern Cameroon known as a local administrative and agricultural center within the country's North Region.
|
E557642
|
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: Pitoa | Statement: [North Region (Cameroon), containsTown, Pitoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pitoa Context triple: [North Region (Cameroon), containsTown, Pitoa]
-
A.
Ruakākā
Ruakākā is a small coastal town in New Zealand known for its long sandy beach, surf breaks, and proximity to the Marsden Point industrial area.
-
B.
Pukematawai
Pukematawai is a prominent mountain peak in New Zealand’s Tararua Range, popular with trampers for its alpine views and role as a key point on the main range route.
-
C.
Ke‘anae
Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
-
D.
Māui-roto
Māui-roto is a lesser-known figure in Polynesian mythology, identified as one of the siblings of the culture hero Māui.
-
E.
Opononi
Opononi is a small coastal settlement in New Zealand known for its scenic Hokianga Harbour views and historic seaside charm.
- 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: Pitoa Triple: [North Region (Cameroon), containsTown, Pitoa]
Generated description
Pitoa is a town in northern Cameroon known as a local administrative and agricultural center within the country's North Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pitoa Target entity description: Pitoa is a town in northern Cameroon known as a local administrative and agricultural center within the country's North Region.
-
A.
Ruakākā
Ruakākā is a small coastal town in New Zealand known for its long sandy beach, surf breaks, and proximity to the Marsden Point industrial area.
-
B.
Pukematawai
Pukematawai is a prominent mountain peak in New Zealand’s Tararua Range, popular with trampers for its alpine views and role as a key point on the main range route.
-
C.
Ke‘anae
Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
-
D.
Māui-roto
Māui-roto is a lesser-known figure in Polynesian mythology, identified as one of the siblings of the culture hero Māui.
-
E.
Opononi
Opononi is a small coastal settlement in New Zealand known for its scenic Hokianga Harbour views and historic seaside charm.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0397c80708190a4778fdb353314b7 |
completed | March 22, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c08d4f0481908547609bc2736380 |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c19665b08190ab3c66b7c6c33f61 |
completed | March 23, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c4576824819080ced71df8fdda6c |
completed | March 23, 2026, 4:40 a.m. |
Created at: March 22, 2026, 4:01 p.m.