Triple
T10254693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matiu Rata |
E240432
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rata |
E817086
|
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: Rata | Statement: [Matiu Rata, familyName, Rata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rata Context triple: [Matiu Rata, familyName, Rata]
-
A.
Rata
chosen
Rata is the Spanish nickname for the Soviet Polikarpov I-16, a pioneering monoplane fighter aircraft widely used during the Spanish Civil War.
-
B.
Tiel
Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
-
C.
Z train
The Z train is a New York City Subway rush-hour, skip-stop service that runs along the J line in Brooklyn and Queens, providing limited-stop service between Jamaica Center and lower Manhattan.
-
D.
Taejongdae Danubi train
The Taejongdae Danubi train is a tourist shuttle train in Busan’s Taejongdae Resort Park that transports visitors between major scenic spots such as cliffs, forests, and the lighthouse.
-
E.
Zheleznodorozhny
Zheleznodorozhny is a small Russian settlement located in Siberia, known for its position along the Kirenga River and its origins as a railway-related community.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24b9a308190bba6d8e3e22e5ee0 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7cec62c819083e493e0fc7c65b5 |
completed | April 9, 2026, 12:50 a.m. |
Created at: April 6, 2026, 11:30 a.m.