Triple
T4927770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giorgetto Giugiaro |
E110617
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Ghia
Ghia is an Italian automotive design and coachbuilding firm renowned for its influential car designs and collaborations with major manufacturers throughout the 20th century.
|
E480897
|
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: Ghia | Statement: [Giorgetto Giugiaro, employer, Ghia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghia Context triple: [Giorgetto Giugiaro, employer, Ghia]
-
A.
Griante
Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
-
B.
Sitra
Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
-
C.
Turati
Turati is an Italian surname most notably associated with Filippo Turati, a leading socialist politician and intellectual in early 20th-century Italy.
-
D.
Roatta
Roatta is an Italian surname most notably borne by Mario Roatta, a general in the Royal Italian Army during World War II.
-
E.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
- 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: Ghia Triple: [Giorgetto Giugiaro, employer, Ghia]
Generated description
Ghia is an Italian automotive design and coachbuilding firm renowned for its influential car designs and collaborations with major manufacturers throughout the 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ghia Target entity description: Ghia is an Italian automotive design and coachbuilding firm renowned for its influential car designs and collaborations with major manufacturers throughout the 20th century.
-
A.
Griante
Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
-
B.
Sitra
Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
-
C.
Turati
Turati is an Italian surname most notably associated with Filippo Turati, a leading socialist politician and intellectual in early 20th-century Italy.
-
D.
Roatta
Roatta is an Italian surname most notably borne by Mario Roatta, a general in the Royal Italian Army during World War II.
-
E.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7036d8e88190bc4be2975160da23 |
completed | March 20, 2026, 4:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77ac88148190a51fa2e9085d6897 |
completed | March 21, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69be7847a378819081687ec783a8b862 |
completed | March 21, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be7915a26c81909b21a128daebf5b3 |
completed | March 21, 2026, 10:55 a.m. |
Created at: March 20, 2026, 1:30 p.m.