Triple
T12490806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YBNL (album) |
E298555
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Panumo
"Panumo" is a Nigerian hip-hop track by rapper Olamide from his album *YBNL*, known for its energetic delivery and street-influenced lyrics.
|
E988125
|
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: Panumo | Statement: [YBNL (album), hasTrack, Panumo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panumo Context triple: [YBNL (album), hasTrack, Panumo]
-
A.
Auta
Auta is a small settlement on the island of Mitiaro in the Cook Islands.
-
B.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
-
C.
Kioni
Kioni is a picturesque seaside village on the Greek island of Ithaca, known for its traditional architecture and scenic harbor.
-
D.
Naan Autokaaran
"Naan Autokaaran" is a popular Tamil song from the 1995 Rajinikanth film *Baashha*, known for its energetic music and iconic portrayal of the protagonist as an auto-rickshaw driver.
-
E.
Lansen
Lansen is the NATO reporting name for the Swedish Saab 32, a Cold War-era jet aircraft used primarily for attack and reconnaissance roles.
- 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: Panumo Triple: [YBNL (album), hasTrack, Panumo]
Generated description
"Panumo" is a Nigerian hip-hop track by rapper Olamide from his album *YBNL*, known for its energetic delivery and street-influenced lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Panumo Target entity description: "Panumo" is a Nigerian hip-hop track by rapper Olamide from his album *YBNL*, known for its energetic delivery and street-influenced lyrics.
-
A.
Auta
Auta is a small settlement on the island of Mitiaro in the Cook Islands.
-
B.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
-
C.
Kioni
Kioni is a picturesque seaside village on the Greek island of Ithaca, known for its traditional architecture and scenic harbor.
-
D.
Naan Autokaaran
"Naan Autokaaran" is a popular Tamil song from the 1995 Rajinikanth film *Baashha*, known for its energetic music and iconic portrayal of the protagonist as an auto-rickshaw driver.
-
E.
Lansen
Lansen is the NATO reporting name for the Swedish Saab 32, a Cold War-era jet aircraft used primarily for attack and reconnaissance roles.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de3076c81909640c982d520ca6b |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64ba9e1108190b74984d9da9baebe |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64c535c9881908e5bf07d13fa73c5 |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6508afef08190ac7a19b1ee90141e |
completed | May 2, 2026, 7:29 p.m. |
Created at: April 8, 2026, 9:56 p.m.