Triple
T6528250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pepel |
E151360
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Papel |
E151361
|
NE FINISHED |
How this triple was built (2 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: Papel | Statement: [Pepel, alternativeName, Papel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Papel Context triple: [Pepel, alternativeName, Papel]
-
A.
Papel
chosen
Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
-
B.
Liquid Paper
Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
-
C.
The Paper
The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
-
D.
The Pen
The Pen is the English title of Surah Al-Qalam, a chapter of the Qur’an that emphasizes the importance of moral character, divine wisdom, and the prophetic mission.
-
E.
Paperwork
"Paperwork" is the debut studio album by American rapper T.I., showcasing his Southern hip hop style and lyrical themes of street life and success.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ada9c8408190b1bc327985366be9 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e41908f0819096e6e432509afe7d |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:46 p.m.