Triple
T2806407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picasso Museum |
E54062
|
entity |
| Predicate | occupies |
P2574
|
FINISHED |
| Object |
Palau Aguilar
Palau Aguilar is a historic medieval palace in Barcelona’s Gothic Quarter that serves as the main building of the Picasso Museum.
|
E299311
|
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: Palau Aguilar | Statement: [Picasso Museum, occupies, Palau Aguilar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palau Aguilar Context triple: [Picasso Museum, occupies, Palau Aguilar]
-
A.
Peñaflor
Peñaflor is a Chilean town and commune located in the outskirts of Santiago, known for its residential character and green areas.
-
B.
Malpaso
Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
-
C.
Gachancipá
Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
-
D.
Rojas
Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
-
E.
Acuña
Acuña is a Mexican border city in the state of Coahuila, located across the Rio Grande from Del Rio, Texas.
- 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: Palau Aguilar Triple: [Picasso Museum, occupies, Palau Aguilar]
Generated description
Palau Aguilar is a historic medieval palace in Barcelona’s Gothic Quarter that serves as the main building of the Picasso Museum.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Palau Aguilar Target entity description: Palau Aguilar is a historic medieval palace in Barcelona’s Gothic Quarter that serves as the main building of the Picasso Museum.
-
A.
Peñaflor
Peñaflor is a Chilean town and commune located in the outskirts of Santiago, known for its residential character and green areas.
-
B.
Malpaso
Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
-
C.
Gachancipá
Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
-
D.
Rojas
Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
-
E.
Acuña
Acuña is a Mexican border city in the state of Coahuila, located across the Rio Grande from Del Rio, Texas.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde165a448190aa2728ec074daf88 |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc676d03081908986026dfe5fc852 |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc7e1e0708190a1e87212435029f6 |
completed | March 10, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc8470cc081908241d23975181aa0 |
completed | March 10, 2026, 7:29 a.m. |
Created at: March 6, 2026, 9:59 p.m.