Triple
T128803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lima |
E2605
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
La Molina
La Molina is an affluent residential and educational district located in the eastern part of Lima, Peru.
|
E16954
|
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: La Molina | Statement: [Lima, hasDistrict, La Molina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Molina Context triple: [Lima, hasDistrict, La Molina]
-
A.
Malecón
Malecón is a famous seaside promenade and seawall in Havana, Cuba, known for its ocean views, social life, and historic architecture.
-
B.
Madrid
Madrid is the capital and largest city of Spain, renowned for its rich cultural heritage, historic architecture, and vibrant arts and nightlife scenes.
-
C.
Valencia
Valencia is a major Spanish coastal city known for its historic architecture, vibrant culture, and significant role as a key Mediterranean trade and tourism hub.
-
D.
Community of Madrid
The Community of Madrid is an autonomous region in central Spain that includes the nation’s capital, Madrid, and serves as a major political, cultural, and economic hub.
-
E.
Barcelona
Barcelona is a major Spanish Mediterranean city renowned for its distinctive Catalan culture, Gaudí architecture, and vibrant arts and nightlife scenes.
- 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: La Molina Triple: [Lima, hasDistrict, La Molina]
Generated description
La Molina is an affluent residential and educational district located in the eastern part of Lima, Peru.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Molina Target entity description: La Molina is an affluent residential and educational district located in the eastern part of Lima, Peru.
-
A.
Malecón
Malecón is a famous seaside promenade and seawall in Havana, Cuba, known for its ocean views, social life, and historic architecture.
-
B.
Madrid
Madrid is the capital and largest city of Spain, renowned for its rich cultural heritage, historic architecture, and vibrant arts and nightlife scenes.
-
C.
Valencia
Valencia is a major Spanish coastal city known for its historic architecture, vibrant culture, and significant role as a key Mediterranean trade and tourism hub.
-
D.
Community of Madrid
The Community of Madrid is an autonomous region in central Spain that includes the nation’s capital, Madrid, and serves as a major political, cultural, and economic hub.
-
E.
Barcelona
Barcelona is a major Spanish Mediterranean city renowned for its distinctive Catalan culture, Gaudí architecture, and vibrant arts and nightlife scenes.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a2576518e0819096b35d8af7a4d1bd |
completed | Feb. 28, 2026, 2:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2bf67902c8190b4e88c70d25439e8 |
completed | Feb. 28, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69a2bfd78fa48190b7af7a5113c1bbf6 |
completed | Feb. 28, 2026, 10:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2c0ac71bc8190a80b2090d96c1e37 |
completed | Feb. 28, 2026, 10:17 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.