Triple
T17325625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villa Gesell |
E420678
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Mar Azul
Mar Azul is a tranquil coastal resort area in Argentina known for its wide sandy beaches, pine forests, and relaxed atmosphere near Villa Gesell.
|
E1263466
|
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: Mar Azul | Statement: [Villa Gesell, hasPart, Mar Azul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mar Azul Context triple: [Villa Gesell, hasPart, Mar Azul]
-
A.
Mar de Cristal
Mar de Cristal is a Madrid Metro station serving as an interchange between lines 4 and 8 in the northeastern part of the city.
-
B.
Océan
Océan is a coastal department in Cameroon's South Region, known for its Atlantic shoreline and port towns.
-
C.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
-
D.
Palifico
Palifico is a grotesque, barnacle-encrusted crewman of Davy Jones aboard the Flying Dutchman in the Pirates of the Caribbean film series.
-
E.
Oceano
Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
- 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: Mar Azul Triple: [Villa Gesell, hasPart, Mar Azul]
Generated description
Mar Azul is a tranquil coastal resort area in Argentina known for its wide sandy beaches, pine forests, and relaxed atmosphere near Villa Gesell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mar Azul Target entity description: Mar Azul is a tranquil coastal resort area in Argentina known for its wide sandy beaches, pine forests, and relaxed atmosphere near Villa Gesell.
-
A.
Mar de Cristal
Mar de Cristal is a Madrid Metro station serving as an interchange between lines 4 and 8 in the northeastern part of the city.
-
B.
Océan
Océan is a coastal department in Cameroon's South Region, known for its Atlantic shoreline and port towns.
-
C.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
-
D.
Palifico
Palifico is a grotesque, barnacle-encrusted crewman of Davy Jones aboard the Flying Dutchman in the Pirates of the Caribbean film series.
-
E.
Oceano
Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d24e548190a766dd246a4d63d4 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4c2dc08190b60982abc9ac7c9c |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018f2358b481908226aa84a7bd9d7f |
completed | May 11, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0190125abc8190ad4d1f500e3513b3 |
completed | May 11, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:43 a.m.