Triple
T15778373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camacho Province |
E382545
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Escoma
Escoma is a small town in Bolivia’s La Paz Department, situated in Camacho Province near the shores of Lake Titicaca.
|
E1177447
|
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: Escoma | Statement: [Camacho Province, hasSettlement, Escoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Escoma Context triple: [Camacho Province, hasSettlement, Escoma]
-
A.
Blaquiere
Blaquiere was a notable Philhellene known for supporting the Greek struggle for independence in the 19th century.
-
B.
Teroenza
Teroenza is a character in the Star Wars universe known for being one of the earlier owners of the iconic starship Millennium Falcon.
-
C.
Ceesepe
Ceesepe was a prominent Spanish painter and illustrator associated with the countercultural Movida Madrileña movement, known for his vibrant, pop-influenced works.
-
D.
Naubise
Naubise is a small but important town in central Nepal that serves as a key junction and gateway between Kathmandu and the country’s western regions.
-
E.
Comala
Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
- 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: Escoma Triple: [Camacho Province, hasSettlement, Escoma]
Generated description
Escoma is a small town in Bolivia’s La Paz Department, situated in Camacho Province near the shores of Lake Titicaca.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Escoma Target entity description: Escoma is a small town in Bolivia’s La Paz Department, situated in Camacho Province near the shores of Lake Titicaca.
-
A.
Blaquiere
Blaquiere was a notable Philhellene known for supporting the Greek struggle for independence in the 19th century.
-
B.
Teroenza
Teroenza is a character in the Star Wars universe known for being one of the earlier owners of the iconic starship Millennium Falcon.
-
C.
Ceesepe
Ceesepe was a prominent Spanish painter and illustrator associated with the countercultural Movida Madrileña movement, known for his vibrant, pop-influenced works.
-
D.
Naubise
Naubise is a small but important town in central Nepal that serves as a key junction and gateway between Kathmandu and the country’s western regions.
-
E.
Comala
Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05199cd8881909462462cec34d35a |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff909d7b7c81908b62faa2ab378fad |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff9414408c8190903421d28519d9e6 |
completed | May 9, 2026, 8:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9498642081909fd617a327b4c704 |
completed | May 9, 2026, 8:10 p.m. |
Created at: April 10, 2026, 4:47 a.m.