Triple
T1354536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nayarit |
E28956
|
entity |
| Predicate | hasTouristDestination |
P6629
|
FINISHED |
| Object |
San Pancho
San Pancho is a laid-back Pacific coastal village in Mexico known for its beaches, surf culture, and vibrant arts and community scene.
|
E160368
|
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: San Pancho | Statement: [Nayarit, hasTouristDestination, San Pancho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Pancho Context triple: [Nayarit, hasTouristDestination, San Pancho]
-
A.
San Pedro
San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
-
B.
San Pedro
San Pedro is a Chilean commune and town located within the Santiago Metropolitan Region, known for its rural character and agricultural activities.
-
C.
Rosarito
Rosarito is a coastal resort city in northern Baja California, Mexico, known for its beaches, tourism, and proximity to the U.S. border.
-
D.
Puerto Escondido
Puerto Escondido is a coastal town and popular surfing and beach tourism destination on Mexico’s Pacific coast in the state of Oaxaca.
-
E.
Acapulco
Acapulco is a historic Mexican Pacific coastal city that flourished as a major colonial-era seaport and remains a prominent tourist destination.
- 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: San Pancho Triple: [Nayarit, hasTouristDestination, San Pancho]
Generated description
San Pancho is a laid-back Pacific coastal village in Mexico known for its beaches, surf culture, and vibrant arts and community scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Pancho Target entity description: San Pancho is a laid-back Pacific coastal village in Mexico known for its beaches, surf culture, and vibrant arts and community scene.
-
A.
San Pedro
San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
-
B.
San Pedro
San Pedro is a Chilean commune and town located within the Santiago Metropolitan Region, known for its rural character and agricultural activities.
-
C.
Rosarito
Rosarito is a coastal resort city in northern Baja California, Mexico, known for its beaches, tourism, and proximity to the U.S. border.
-
D.
Puerto Escondido
Puerto Escondido is a coastal town and popular surfing and beach tourism destination on Mexico’s Pacific coast in the state of Oaxaca.
-
E.
Acapulco
Acapulco is a historic Mexican Pacific coastal city that flourished as a major colonial-era seaport and remains a prominent tourist destination.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c28afc848190925d8b2f9aeac12d |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde1555048190b73c1616d1979b08 |
completed | March 8, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_69acdee073fc819098c906d91870b317 |
completed | March 8, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace0a7ddc08190a44be1707587351b |
completed | March 8, 2026, 2:36 a.m. |
Created at: March 1, 2026, 7:56 p.m.