Triple
T8818959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adi |
E209851
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Ramo |
E297375
|
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: Ramo | Statement: [Adi, hasSubgroup, Ramo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramo Context triple: [Adi, hasSubgroup, Ramo]
-
A.
Ramo
chosen
Ramo is a shortened, informal given name commonly used as a nickname for people named Ramón.
-
B.
Raí
Raí is a legendary Brazilian attacking midfielder best known for his successful spells with São Paulo FC and Paris Saint-Germain, as well as his role in Brazil’s 1994 World Cup–winning squad.
-
C.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
-
D.
Djao
Djao is an alternative name for the Yao, an ethnic group found primarily in parts of China and Southeast Africa, known for their distinct cultural traditions and languages.
-
E.
Si Racha
Si Racha is a coastal city in eastern Thailand known for its industrial port, proximity to major tourist destinations, and as the namesake of the popular Sriracha chili sauce.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600e6e2881908934cbff0ab5d6fd |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6fc96a8481909d09835845ccdcbf |
completed | April 3, 2026, 7:44 a.m. |
Created at: March 30, 2026, 6:46 p.m.