Triple
T14010286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jos South |
E337059
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Vwang
Vwang is a village in Jos South Local Government Area of Plateau State, central Nigeria.
|
E1072986
|
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: Vwang | Statement: [Jos South, hasSettlement, Vwang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vwang Context triple: [Jos South, hasSettlement, Vwang]
-
A.
Vangteh
Vangteh is a dialect of the Tedim Chin language spoken by a subgroup of the Chin people in Myanmar.
-
B.
Vaiaku
Vaiaku is a small village on the atoll of Funafuti in Tuvalu that serves as the country's administrative center.
-
C.
Wau
Wau is a town in Papua New Guinea historically notable as the site of a significant World War II battle between Allied and Japanese forces.
-
D.
Wau
Wau is a major city in northwestern South Sudan that serves as an important administrative, commercial, and transport hub.
-
E.
Wana
Wana is a town in Pakistan’s Khyber Pakhtunkhwa province that serves as a key administrative and commercial center in the South Waziristan region.
- 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: Vwang Triple: [Jos South, hasSettlement, Vwang]
Generated description
Vwang is a village in Jos South Local Government Area of Plateau State, central Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vwang Target entity description: Vwang is a village in Jos South Local Government Area of Plateau State, central Nigeria.
-
A.
Vangteh
Vangteh is a dialect of the Tedim Chin language spoken by a subgroup of the Chin people in Myanmar.
-
B.
Vaiaku
Vaiaku is a small village on the atoll of Funafuti in Tuvalu that serves as the country's administrative center.
-
C.
Wau
Wau is a town in Papua New Guinea historically notable as the site of a significant World War II battle between Allied and Japanese forces.
-
D.
Wau
Wau is a major city in northwestern South Sudan that serves as an important administrative, commercial, and transport hub.
-
E.
Wana
Wana is a town in Pakistan’s Khyber Pakhtunkhwa province that serves as a key administrative and commercial center in the South Waziristan region.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbaca7bbd88190a377d3b74f3d6224 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbae6691b48190a0affc662cbb2d4e |
completed | May 6, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaf71ad648190b9128851ba62590e |
completed | May 6, 2026, 9:15 p.m. |
Created at: April 9, 2026, 10:19 p.m.