Triple
T1383865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San José |
E29798
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Uruca
Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
|
E160637
|
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: Uruca | Statement: [San José, hasDistrict, Uruca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uruca Context triple: [San José, hasDistrict, Uruca]
-
A.
Garanhuns
Garanhuns is a city in northeastern Brazil known for its mild climate, hilly terrain, and popular winter music festival.
-
B.
Urunga
Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
-
C.
Idumea
Idumea was an ancient region south of Judea, inhabited by the Edomites and later integrated into the Hasmonean and Herodian Jewish realms.
-
D.
Andalgalá
Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
-
E.
Wargandí
Wargandí is an indigenous comarca (autonomous territory) in eastern Panama inhabited primarily by the Guna (Kuna) people.
- 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: Uruca Triple: [San José, hasDistrict, Uruca]
Generated description
Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uruca Target entity description: Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
-
A.
Garanhuns
Garanhuns is a city in northeastern Brazil known for its mild climate, hilly terrain, and popular winter music festival.
-
B.
Urunga
Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
-
C.
Idumea
Idumea was an ancient region south of Judea, inhabited by the Edomites and later integrated into the Hasmonean and Herodian Jewish realms.
-
D.
Andalgalá
Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
-
E.
Wargandí
Wargandí is an indigenous comarca (autonomous territory) in eastern Panama inhabited primarily by the Guna (Kuna) people.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3377b608190b915e6871c1fe86e |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde1f08e08190871fd9d539e902c8 |
completed | March 8, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_69acdf4e74b08190a18df73cca054b28 |
completed | March 8, 2026, 2:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace03eabf48190a79b5112fb2a917d |
completed | March 8, 2026, 2:34 a.m. |
Created at: March 1, 2026, 7:59 p.m.