Triple
T12703242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loreto Municipality |
E303513
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Nopoló
Nopoló is a small coastal community in Baja California Sur, Mexico, known for its resort developments, golf course, and proximity to the historic town of Loreto.
|
E997297
|
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: Nopoló | Statement: [Loreto Municipality, containsSettlement, Nopoló]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nopoló Context triple: [Loreto Municipality, containsSettlement, Nopoló]
-
A.
Nespolo
Nespolo is a small Italian municipality located in the Lazio region, known for its rural character and scenic Apennine surroundings.
-
B.
Nopo
Nopo is a neighborhood in Busan, South Korea, known as a major transportation hub and gateway to the city.
-
C.
Polae
Polae is a historical name referring to the ancient settlement known in later periods as Pola, a coastal city in the Istrian region.
-
D.
Nachinola
Nachinola is a small village located in the North Goa district of the Indian state of Goa, known for its rural setting and proximity to the region’s coastal and cultural attractions.
-
E.
Opolais
Opolais is the surname of Latvian soprano opera singer Kristīne Opolais, renowned for her dramatic roles on major international stages.
- 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: Nopoló Triple: [Loreto Municipality, containsSettlement, Nopoló]
Generated description
Nopoló is a small coastal community in Baja California Sur, Mexico, known for its resort developments, golf course, and proximity to the historic town of Loreto.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nopoló Target entity description: Nopoló is a small coastal community in Baja California Sur, Mexico, known for its resort developments, golf course, and proximity to the historic town of Loreto.
-
A.
Nespolo
Nespolo is a small Italian municipality located in the Lazio region, known for its rural character and scenic Apennine surroundings.
-
B.
Nopo
Nopo is a neighborhood in Busan, South Korea, known as a major transportation hub and gateway to the city.
-
C.
Polae
Polae is a historical name referring to the ancient settlement known in later periods as Pola, a coastal city in the Istrian region.
-
D.
Nachinola
Nachinola is a small village located in the North Goa district of the Indian state of Goa, known for its rural setting and proximity to the region’s coastal and cultural attractions.
-
E.
Opolais
Opolais is the surname of Latvian soprano opera singer Kristīne Opolais, renowned for her dramatic roles on major international stages.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961f0941081908a879cde0be48667 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b4832c8190abc17f5f33b3552a |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67286f1b8819081db3da2f5c16daf |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67323a724819092425cdb3a070b96 |
completed | May 2, 2026, 9:56 p.m. |
Created at: April 9, 2026, 5:23 p.m.