Triple
T16898956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiriquí Highlands |
E424383
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Guadalupe
Guadalupe is a small mountain town in Panama’s Chiriquí Highlands known for its cool climate, lush landscapes, and proximity to cloud forests and hiking trails.
|
E1239271
|
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: Guadalupe | Statement: [Chiriquí Highlands, contains, Guadalupe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guadalupe Context triple: [Chiriquí Highlands, contains, Guadalupe]
-
A.
Guadalupe
Guadalupe is a city in the Monterrey metropolitan area of Nuevo León, Mexico, known for its urban development and major sports venues.
-
B.
Guadalupe
Guadalupe is a small town in Maricopa County, Arizona, known for its strong Yaqui and Mexican cultural heritage.
-
C.
Guadalupe
Guadalupe is a small settlement located on Graciosa Island in Portugal’s Azores archipelago.
-
D.
Guadalupe
Guadalupe is a renowned Catholic pilgrimage site in Mexico associated with the Marian apparitions of Our Lady of Guadalupe, one of the most venerated religious images in the world.
-
E.
Guadalupe
Guadalupe is a town in northern Peru known for its agricultural surroundings and location within the La Libertad Region.
- 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: Guadalupe Triple: [Chiriquí Highlands, contains, Guadalupe]
Generated description
Guadalupe is a small mountain town in Panama’s Chiriquí Highlands known for its cool climate, lush landscapes, and proximity to cloud forests and hiking trails.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guadalupe Target entity description: Guadalupe is a small mountain town in Panama’s Chiriquí Highlands known for its cool climate, lush landscapes, and proximity to cloud forests and hiking trails.
-
A.
Guadalupe
Guadalupe is a town in northern Peru known for its agricultural surroundings and location within the La Libertad Region.
-
B.
Guadalupe
Guadalupe is a small town in Maricopa County, Arizona, known for its strong Yaqui and Mexican cultural heritage.
-
C.
Guadalupe
Guadalupe is a small coastal city in northern Santa Barbara County, California, known for its agricultural surroundings and proximity to the Guadalupe-Nipomo Dunes.
-
D.
Guadalupe
Guadalupe is a small settlement located on Graciosa Island in Portugal’s Azores archipelago.
-
E.
Guadalupe
Guadalupe is a city in the Monterrey metropolitan area of Nuevo León, Mexico, known for its urban development and major sports venues.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8da7b0481909111358871875023 |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7b0783c81909c87de503d5e7e3c |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c830f7ac8190ae25232f88e9774b |
completed | May 10, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c8aa5aac8190be5f79f992c8a0ec |
completed | May 10, 2026, 6:04 p.m. |
Created at: April 10, 2026, 5:29 a.m.