Triple
T21675248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mace Dragados |
E534949
|
entity |
| Predicate | formedBy |
P972
|
FINISHED |
| Object | Dragados |
—
|
NE NERFINISHED |
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: Dragados | Statement: [Mace Dragados, formedBy, Dragados]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dragados Context triple: [Mace Dragados, formedBy, Dragados]
-
A.
Dragados
chosen
Dragados is a major Spanish construction and civil engineering company known for large-scale infrastructure projects worldwide.
-
B.
Cadalo
Cadalo was an 11th-century Italian bishop and nobleman best known for becoming the antipope Honorius II during the Investiture Controversy.
-
C.
Drasna
Drasna is a Dragon-type specialist who serves as one of the Elite Four members in the Kalos region of the Pokémon series.
-
D.
Vlichos
Vlichos is a small coastal village on the Greek island of Hydra, known for its traditional stone houses, quiet beaches, and scenic seaside promenade.
-
E.
Meligalas
Meligalas is a small town in the Messenia regional unit of the Peloponnese in southwestern Greece, known historically for its role in World War II–era events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0f85748190944b9425ffed02ee |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 16, 2026, 6:42 p.m.