Triple
T1689120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petorca Province |
E36510
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Zapallar
Zapallar is a coastal town and popular beach resort in central Chile, known for its scenic bay, upscale summer homes, and tranquil atmosphere.
|
E216985
|
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: Zapallar | Statement: [Petorca Province, hasMunicipality, Zapallar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zapallar Context triple: [Petorca Province, hasMunicipality, Zapallar]
-
A.
Zapatoca
Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
-
B.
Chapala
Chapala is a lakeside town in the Mexican state of Jalisco, known for its location on the shores of Lake Chapala, the country’s largest freshwater lake.
-
C.
Chiguayante
Chiguayante is a Chilean city located near Concepción, known as part of the Greater Concepción metropolitan area in the south-central part of the country.
-
D.
Sibaté
Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
-
E.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
- 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: Zapallar Triple: [Petorca Province, hasMunicipality, Zapallar]
Generated description
Zapallar is a coastal town and popular beach resort in central Chile, known for its scenic bay, upscale summer homes, and tranquil atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zapallar Target entity description: Zapallar is a coastal town and popular beach resort in central Chile, known for its scenic bay, upscale summer homes, and tranquil atmosphere.
-
A.
Zapatoca
Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
-
B.
Chapala
Chapala is a lakeside town in the Mexican state of Jalisco, known for its location on the shores of Lake Chapala, the country’s largest freshwater lake.
-
C.
Chiguayante
Chiguayante is a Chilean city located near Concepción, known as part of the Greater Concepción metropolitan area in the south-central part of the country.
-
D.
Sibaté
Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
-
E.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6296655c8190835ec0d20f7460ca |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3b7558c8190aa616de6db4ed94a |
completed | March 8, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69adf4159e848190800c814a99c8dc69 |
completed | March 8, 2026, 10:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf4bf73cc819098c1d10d405445eb |
completed | March 8, 2026, 10:14 p.m. |
Created at: March 4, 2026, 7:29 p.m.