Triple
T22709482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cristina Iglesias |
E561554
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Tres Aguas
Tres Aguas is a large-scale public art installation by Spanish sculptor Cristina Iglesias that integrates water, architecture, and urban space to transform the city environment.
|
E1550221
|
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: Tres Aguas | Statement: [Cristina Iglesias, notableWork, Tres Aguas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tres Aguas Context triple: [Cristina Iglesias, notableWork, Tres Aguas]
-
A.
El Laguito
El Laguito is a coastal neighborhood and lagoon area in Cartagena, Colombia, known for its beaches, hotels, and proximity to the upscale Bocagrande district.
-
B.
Tamanique
Tamanique is a small town and municipality in western El Salvador known for its nearby waterfalls and coastal proximity.
-
C.
Aguas Dulces
Aguas Dulces is a small coastal resort town and beach destination on Uruguay’s Atlantic coast, known for its relaxed atmosphere and sand dunes.
-
D.
Aguas Verdes
Aguas Verdes is a Peruvian border town known as a busy commercial crossing point between Peru and Ecuador near the city of Tumbes.
-
E.
La Ensenada
La Ensenada is a small settlement located on Isla del Rey in Panama’s Pearl Islands archipelago.
- 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: Tres Aguas Triple: [Cristina Iglesias, notableWork, Tres Aguas]
Generated description
Tres Aguas is a large-scale public art installation by Spanish sculptor Cristina Iglesias that integrates water, architecture, and urban space to transform the city environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tres Aguas Target entity description: Tres Aguas is a large-scale public art installation by Spanish sculptor Cristina Iglesias that integrates water, architecture, and urban space to transform the city environment.
-
A.
El Laguito
El Laguito is a coastal neighborhood and lagoon area in Cartagena, Colombia, known for its beaches, hotels, and proximity to the upscale Bocagrande district.
-
B.
Tamanique
Tamanique is a small town and municipality in western El Salvador known for its nearby waterfalls and coastal proximity.
-
C.
Aguas Dulces
Aguas Dulces is a small coastal resort town and beach destination on Uruguay’s Atlantic coast, known for its relaxed atmosphere and sand dunes.
-
D.
Aguas Verdes
Aguas Verdes is a Peruvian border town known as a busy commercial crossing point between Peru and Ecuador near the city of Tumbes.
-
E.
La Ensenada
La Ensenada is a small settlement located on Isla del Rey in Panama’s Pearl Islands archipelago.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178d1e24881909ebd4531c0daef7f |
completed | April 29, 2026, 3:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7ed9cb908190b50dd5297ca2d17c |
completed | May 18, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_6a0b7fbb53388190b0942c28b5748c60 |
completed | May 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b806b4e1481909babc97a8914947a |
completed | May 18, 2026, 9:11 p.m. |
Created at: April 17, 2026, 3:17 p.m.