Triple
T10360173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azuero Peninsula |
E244111
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object |
Las Tablas
Las Tablas is a prominent town in Panama known as a cultural center of the Azuero Peninsula, especially famous for its vibrant traditional festivals and folklore.
|
E858653
|
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: Las Tablas | Statement: [Azuero Peninsula, majorTown, Las Tablas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Las Tablas Context triple: [Azuero Peninsula, majorTown, Las Tablas]
-
A.
The Table
The Table is a distinctive flat-topped volcanic mesa located in Garibaldi Provincial Park in British Columbia, Canada.
-
B.
The Table
"The Table" is the English name of Surah Al-Ma'idah, a chapter of the Qur'an that addresses themes of lawful and unlawful food, covenants, and adherence to divine law.
-
C.
Tabuelan
Tabuelan is a coastal municipality in the province of Cebu in the Philippines, known for its beaches and rural, laid-back atmosphere.
-
D.
Tabulahan
Tabulahan is a dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
-
E.
Tábua
Tábua is a municipality in central Portugal known for its rural landscapes, traditional villages, and location between the Mondego and Alva rivers.
- 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: Las Tablas Triple: [Azuero Peninsula, majorTown, Las Tablas]
Generated description
Las Tablas is a prominent town in Panama known as a cultural center of the Azuero Peninsula, especially famous for its vibrant traditional festivals and folklore.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Las Tablas Target entity description: Las Tablas is a prominent town in Panama known as a cultural center of the Azuero Peninsula, especially famous for its vibrant traditional festivals and folklore.
-
A.
The Table
The Table is a distinctive flat-topped volcanic mesa located in Garibaldi Provincial Park in British Columbia, Canada.
-
B.
The Table
"The Table" is the English name of Surah Al-Ma'idah, a chapter of the Qur'an that addresses themes of lawful and unlawful food, covenants, and adherence to divine law.
-
C.
Tabuelan
Tabuelan is a coastal municipality in the province of Cebu in the Philippines, known for its beaches and rural, laid-back atmosphere.
-
D.
Tabulahan
Tabulahan is a dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
-
E.
Tábua
Tábua is a municipality in central Portugal known for its rural landscapes, traditional villages, and location between the Mondego and Alva rivers.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9609c4481908b7d72ecf1adaa73 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750b6ef248190bdbe16bbb8efcf88 |
completed | April 9, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_69d7618ecb748190a492406eabe590d7 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d77057affc8190b420e66560c3dfbd |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 6, 2026, 11:59 a.m.