Triple
T21724134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todo a su tiempo |
E536232
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
Vieja mesa
"Vieja mesa" is a song featured on the album "Todo a su tiempo."
|
E1498334
|
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: Vieja mesa | Statement: [Todo a su tiempo, track, Vieja mesa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vieja mesa Context triple: [Todo a su tiempo, track, Vieja mesa]
-
A.
Šeteniai
Šeteniai is a small village in central Lithuania best known as the birthplace of Nobel Prize–winning poet and writer Czesław Miłosz.
-
B.
Feteiras
Feteiras is a civil parish in the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
-
C.
Valpaços
Valpaços is a municipality and town in northeastern Portugal known for its wine production, olive oil, and traditional rural landscapes.
-
D.
Mastník
Mastník is a river in the Central Bohemian Region of the Czech Republic that flows through the town of Sedlčany.
-
E.
Vrútky
Vrútky is a town in northern Slovakia that serves as an important railway junction and gateway between central and northern regions of the country.
- 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: Vieja mesa Triple: [Todo a su tiempo, track, Vieja mesa]
Generated description
"Vieja mesa" is a song featured on the album "Todo a su tiempo."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vieja mesa Target entity description: "Vieja mesa" is a song featured on the album "Todo a su tiempo."
-
A.
Šeteniai
Šeteniai is a small village in central Lithuania best known as the birthplace of Nobel Prize–winning poet and writer Czesław Miłosz.
-
B.
Feteiras
Feteiras is a civil parish in the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
-
C.
Valpaços
Valpaços is a municipality and town in northeastern Portugal known for its wine production, olive oil, and traditional rural landscapes.
-
D.
Mastník
Mastník is a river in the Central Bohemian Region of the Czech Republic that flows through the town of Sedlčany.
-
E.
Vrútky
Vrútky is a town in northern Slovakia that serves as an important railway junction and gateway between central and northern regions of the country.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd9722ce881909372fd0f1b15d242 |
completed | April 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a24bb8da08190a590ca8cb7fa5c8c |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a260362a48190a33a5a892720e49d |
completed | May 17, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a26bfae908190b7582ae94fd9b4df |
completed | May 17, 2026, 8:36 p.m. |
Created at: April 16, 2026, 6:48 p.m.