Triple
T17480575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa Rican Route 34 |
E425646
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Ojochal
Ojochal is a small coastal village in southern Costa Rica known for its tranquil beaches, lush rainforest surroundings, and notable international dining scene.
|
E1270364
|
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: Ojochal | Statement: [Costa Rican Route 34, passesNear, Ojochal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ojochal Context triple: [Costa Rican Route 34, passesNear, Ojochal]
-
A.
Moncagua
Moncagua is a municipality and town in eastern El Salvador known for its hot springs and agricultural activities.
-
B.
El Chal
El Chal is a municipality and town located in Guatemala's northern Petén region, known for its rural communities and proximity to Maya archaeological areas.
-
C.
Huancané
Huancané is a town in southern Peru that serves as an administrative and commercial center in the Puno region near Lake Titicaca.
-
D.
Hualañé
Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
-
E.
Panajachel
Panajachel is a popular lakeside town on the shores of Lake Atitlán in Guatemala, known for its scenic volcano views and vibrant tourism scene.
- 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: Ojochal Triple: [Costa Rican Route 34, passesNear, Ojochal]
Generated description
Ojochal is a small coastal village in southern Costa Rica known for its tranquil beaches, lush rainforest surroundings, and notable international dining scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ojochal Target entity description: Ojochal is a small coastal village in southern Costa Rica known for its tranquil beaches, lush rainforest surroundings, and notable international dining scene.
-
A.
Moncagua
Moncagua is a municipality and town in eastern El Salvador known for its hot springs and agricultural activities.
-
B.
El Chal
El Chal is a municipality and town located in Guatemala's northern Petén region, known for its rural communities and proximity to Maya archaeological areas.
-
C.
Huancané
Huancané is a town in southern Peru that serves as an administrative and commercial center in the Puno region near Lake Titicaca.
-
D.
Hualañé
Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
-
E.
Panajachel
Panajachel is a popular lakeside town on the shores of Lake Atitlán in Guatemala, known for its scenic volcano views and vibrant tourism scene.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bf1e8081909f4d4b8992412e62 |
completed | April 19, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b8320f488190a4eacfb628bb1dfd |
completed | May 11, 2026, 11:06 a.m. |
| NEDg | Description generation | batch_6a01b8dd58f8819090d5138897c5155f |
completed | May 11, 2026, 11:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b9676d54819098315611857dd6ea |
completed | May 11, 2026, 11:11 a.m. |
Created at: April 10, 2026, 5:48 a.m.