Triple
T9090284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ropa River |
E217863
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Ropa@pl
Ropa is the Polish name for the Ropa River, a watercourse located in southern Poland.
|
E777639
|
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: Ropa@pl | Statement: [Ropa River, hasNameInLanguage, Ropa@pl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ropa@pl Context triple: [Ropa River, hasNameInLanguage, Ropa@pl]
-
A.
CLO
CLO is the acronym for the Conselh de la Lenga Occitana, the official body responsible for regulating and standardizing the Occitan language.
-
B.
Shoppin' for Clothes
"Shoppin' for Clothes" is a humorous rhythm and blues song by The Coasters, known for its spoken-word storytelling about a man trying to buy flashy clothes on credit.
-
C.
DBApparel
DBApparel is a European innerwear and hosiery company known for brands like DIM, Playtex, and Wonderbra, later integrated into Hanesbrands’ global portfolio.
-
D.
Pashons
Pashons is the ninth month of the Coptic calendar, traditionally associated with the harvest season in Egypt.
-
E.
Tailo
Tailo is a widely used Latin-based romanization system for writing Taiwanese Hokkien, employed in education, literature, and language preservation.
- 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: Ropa@pl Triple: [Ropa River, hasNameInLanguage, Ropa@pl]
Generated description
Ropa is the Polish name for the Ropa River, a watercourse located in southern Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ropa@pl Target entity description: Ropa is the Polish name for the Ropa River, a watercourse located in southern Poland.
-
A.
CLO
CLO is the acronym for the Conselh de la Lenga Occitana, the official body responsible for regulating and standardizing the Occitan language.
-
B.
Shoppin' for Clothes
"Shoppin' for Clothes" is a humorous rhythm and blues song by The Coasters, known for its spoken-word storytelling about a man trying to buy flashy clothes on credit.
-
C.
DBApparel
DBApparel is a European innerwear and hosiery company known for brands like DIM, Playtex, and Wonderbra, later integrated into Hanesbrands’ global portfolio.
-
D.
Pashons
Pashons is the ninth month of the Coptic calendar, traditionally associated with the harvest season in Egypt.
-
E.
Tailo
Tailo is a widely used Latin-based romanization system for writing Taiwanese Hokkien, employed in education, literature, and language preservation.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc965971f88190acffbf204c11832b |
completed | April 1, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017ecc8b4819094dc0b009484ec00 |
completed | April 3, 2026, 7:41 p.m. |
| NEDg | Description generation | batch_69d01963aac881909a4890948f7b7c1c |
completed | April 3, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d019f55a6c8190b7065c0dcb5bb1d9 |
completed | April 3, 2026, 7:50 p.m. |
Created at: March 30, 2026, 7:14 p.m.