Triple
T792941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Molina |
E16954
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
eastern Lima
Eastern Lima is a predominantly residential and rapidly developing sector of Peru’s capital city, characterized by middle- and upper-class districts such as La Molina and various educational and commercial hubs.
|
E94131
|
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: eastern Lima | Statement: [La Molina, locatedIn, eastern Lima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: eastern Lima Context triple: [La Molina, locatedIn, eastern Lima]
-
A.
Loveland
Loveland is a city in northern Colorado known for its art community, sculpture parks, and proximity to the Rocky Mountains.
-
B.
Kanesville
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
-
C.
Elma, Iowa
Elma, Iowa is a small rural city located in northeastern Iowa within Howard County.
-
D.
Harpley
Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
-
E.
Gretna, Nebraska
Gretna, Nebraska is a small but rapidly growing suburban city in Sarpy County that serves as part of the greater Omaha metropolitan area.
- 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: eastern Lima Triple: [La Molina, locatedIn, eastern Lima]
Generated description
Eastern Lima is a predominantly residential and rapidly developing sector of Peru’s capital city, characterized by middle- and upper-class districts such as La Molina and various educational and commercial hubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: eastern Lima Target entity description: Eastern Lima is a predominantly residential and rapidly developing sector of Peru’s capital city, characterized by middle- and upper-class districts such as La Molina and various educational and commercial hubs.
-
A.
Loveland
Loveland is a city in northern Colorado known for its art community, sculpture parks, and proximity to the Rocky Mountains.
-
B.
Kanesville
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
-
C.
Elma, Iowa
Elma, Iowa is a small rural city located in northeastern Iowa within Howard County.
-
D.
Harpley
Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
-
E.
Gretna, Nebraska
Gretna, Nebraska is a small but rapidly growing suburban city in Sarpy County that serves as part of the greater Omaha metropolitan area.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a79a3bbc81908d818c50a366b0f8 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a67880f9608190b0676eb47ea99ca1 |
completed | March 3, 2026, 5:58 a.m. |
| NEDg | Description generation | batch_69a678f962c881909884c2af15f41d65 |
completed | March 3, 2026, 6 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a67953f2bc8190bbbf8d4ae9c2c3bc |
completed | March 3, 2026, 6:01 a.m. |
Created at: March 1, 2026, 7:38 p.m.