Triple
T10986873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puntarenas Province |
E259652
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Quepos
Quepos is a coastal town in Costa Rica known as the gateway to Manuel Antonio National Park and a popular destination for sport fishing and beach tourism.
|
E898262
|
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: Quepos | Statement: [Puntarenas Province, contains, Quepos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quepos Context triple: [Puntarenas Province, contains, Quepos]
-
A.
Concón
Concón is a coastal city and popular beach resort in central Chile, known for its dunes, seafood, and proximity to Viña del Mar.
-
B.
Boquete
Boquete is a picturesque highland town in western Panama, renowned for its cool climate, coffee plantations, and outdoor activities such as hiking and birdwatching.
-
C.
Caibarién
Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
-
D.
Mazunte
Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
-
E.
Copala
Copala is a coastal town in the Costa Chica region of Guerrero, Mexico, known for its Afro-Mexican culture and Pacific shoreline.
- 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: Quepos Triple: [Puntarenas Province, contains, Quepos]
Generated description
Quepos is a coastal town in Costa Rica known as the gateway to Manuel Antonio National Park and a popular destination for sport fishing and beach tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quepos Target entity description: Quepos is a coastal town in Costa Rica known as the gateway to Manuel Antonio National Park and a popular destination for sport fishing and beach tourism.
-
A.
Concón
Concón is a coastal city and popular beach resort in central Chile, known for its dunes, seafood, and proximity to Viña del Mar.
-
B.
Boquete
Boquete is a picturesque highland town in western Panama, renowned for its cool climate, coffee plantations, and outdoor activities such as hiking and birdwatching.
-
C.
Caibarién
Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
-
D.
Mazunte
Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
-
E.
Copala
Copala is a coastal town in the Costa Chica region of Guerrero, Mexico, known for its Afro-Mexican culture and Pacific shoreline.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b3c8388190be77e95d56979a7f |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344e9c66c81909163cea6aa9276e0 |
completed | April 18, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e3556e8b408190a02a1fe194ae5750 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3591ecd548190b049ce95fe3f86d9 |
completed | April 18, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:24 p.m.