Triple
T8932773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Johnson |
E212696
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Tapeta
Tapeta is a town in northeastern Liberia known as the hometown of several prominent Liberian political figures, including warlord-turned-politician Prince Johnson.
|
E767817
|
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: Tapeta | Statement: [Prince Johnson, placeOfBirth, Tapeta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tapeta Context triple: [Prince Johnson, placeOfBirth, Tapeta]
-
A.
Tahta
Tahta is a city in Upper Egypt located within the Sohag Governorate, known as a regional center for agriculture and local trade along the Nile.
-
B.
Pellice
The Pellice is a river in northwestern Italy that flows through the Piedmont region and contributes to the local hydrology of the Metropolitan City of Turin.
-
C.
Kachelotplate
Kachelotplate is a small, uninhabited sandbank island in the Wadden Sea off the coast of East Frisia in northwestern Germany.
-
D.
Tábua
Tábua is a municipality in central Portugal known for its rural landscapes, traditional villages, and location between the Mondego and Alva rivers.
-
E.
Taston
Taston is a small village in Oxfordshire, England, known for its historic rural character and traditional stone cottages.
- 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: Tapeta Triple: [Prince Johnson, placeOfBirth, Tapeta]
Generated description
Tapeta is a town in northeastern Liberia known as the hometown of several prominent Liberian political figures, including warlord-turned-politician Prince Johnson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tapeta Target entity description: Tapeta is a town in northeastern Liberia known as the hometown of several prominent Liberian political figures, including warlord-turned-politician Prince Johnson.
-
A.
Tahta
Tahta is a city in Upper Egypt located within the Sohag Governorate, known as a regional center for agriculture and local trade along the Nile.
-
B.
Pellice
The Pellice is a river in northwestern Italy that flows through the Piedmont region and contributes to the local hydrology of the Metropolitan City of Turin.
-
C.
Kachelotplate
Kachelotplate is a small, uninhabited sandbank island in the Wadden Sea off the coast of East Frisia in northwestern Germany.
-
D.
Tábua
Tábua is a municipality in central Portugal known for its rural landscapes, traditional villages, and location between the Mondego and Alva rivers.
-
E.
Taston
Taston is a small village in Oxfordshire, England, known for its historic rural character and traditional stone cottages.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc668e5c108190b08f9cd6b4fd4a8b |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1d965cc8190bad0a990df318698 |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc3b3044c81908631fee4ffe5c25f |
completed | April 3, 2026, 1:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc41fca3081908d8c2515c98283de |
completed | April 3, 2026, 1:43 p.m. |
Created at: March 30, 2026, 6:57 p.m.