Triple
T8932894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bong County |
E212699
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Salala
Salala is a town in central Liberia that serves as an important local hub within Bong County.
|
E767823
|
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: Salala | Statement: [Bong County, hasTown, Salala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salala Context triple: [Bong County, hasTown, Salala]
-
A.
Salayea
Salayea is a town in northwestern Liberia located within Lofa County.
-
B.
Salora
Salora was a prominent Finnish electronics manufacturer best known for producing televisions and radios, and it played a key role in the industrial history of Salo, Finland.
-
C.
Lalsalu
Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
-
D.
Kalsa
Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
-
E.
Lasbela
Lasbela is a coastal district and city in Pakistan’s Balochistan province, known for its strategic location near Karachi and its mix of industrial, agricultural, and fishing activities.
- 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: Salala Triple: [Bong County, hasTown, Salala]
Generated description
Salala is a town in central Liberia that serves as an important local hub within Bong County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salala Target entity description: Salala is a town in central Liberia that serves as an important local hub within Bong County.
-
A.
Salayea
Salayea is a town in northwestern Liberia located within Lofa County.
-
B.
Salora
Salora was a prominent Finnish electronics manufacturer best known for producing televisions and radios, and it played a key role in the industrial history of Salo, Finland.
-
C.
Lalsalu
Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
-
D.
Kalsa
Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
-
E.
Lasbela
Lasbela is a coastal district and city in Pakistan’s Balochistan province, known for its strategic location near Karachi and its mix of industrial, agricultural, and fishing activities.
- 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.