Triple
T10644893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berguedà |
E250811
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bagà
Bagà is a historic town in Catalonia, Spain, known for its medieval old quarter and location in the Pyrenees.
|
E878559
|
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: Bagà | Statement: [Berguedà, contains, Bagà]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bagà Context triple: [Berguedà, contains, Bagà]
-
A.
Bagana
Bagana is an active stratovolcano on Bougainville Island in Papua New Guinea, known for its frequent eruptions and extensive lava flows.
-
B.
Bago
Bago is a component city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
-
C.
Bago
Bago is a historic city in southern Myanmar known for its ancient Buddhist monuments and proximity to Yangon.
-
D.
Baga
The Baga are an ethnic group of coastal Guinea in West Africa, known for their rich artistic traditions, especially wooden masks and sculptures used in ritual ceremonies.
-
E.
Bariadi
Bariadi is a town in northern Tanzania that serves as an important local administrative and commercial center.
- 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: Bagà Triple: [Berguedà, contains, Bagà]
Generated description
Bagà is a historic town in Catalonia, Spain, known for its medieval old quarter and location in the Pyrenees.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bagà Target entity description: Bagà is a historic town in Catalonia, Spain, known for its medieval old quarter and location in the Pyrenees.
-
A.
Bagana
Bagana is an active stratovolcano on Bougainville Island in Papua New Guinea, known for its frequent eruptions and extensive lava flows.
-
B.
Bago
Bago is a component city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
-
C.
Bago
Bago is a historic city in southern Myanmar known for its ancient Buddhist monuments and proximity to Yangon.
-
D.
Baga
The Baga are an ethnic group of coastal Guinea in West Africa, known for their rich artistic traditions, especially wooden masks and sculptures used in ritual ceremonies.
-
E.
Bariadi
Bariadi is a town in northern Tanzania that serves as an important local administrative and commercial center.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfd04ca88190ac4fffd13c1f33a8 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988530f288190b8150d159f723a74 |
completed | April 10, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69d98afa316c8190b9645401d8e43f59 |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98c013348819094bde38a057257b4 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 8, 2026, 9:05 p.m.