Triple
T10209242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siemens Mobility |
E242282
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Avenio
Avenio is a low-floor tram and light rail vehicle platform developed by Siemens Mobility for urban public transportation systems worldwide.
|
E849520
|
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: Avenio | Statement: [Siemens Mobility, brand, Avenio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avenio Context triple: [Siemens Mobility, brand, Avenio]
-
A.
Azuga
Azuga is a small mountain resort town in Romania known for its ski slopes and scenic location in the Carpathian Mountains.
-
B.
Auta
Auta is a small settlement on the island of Mitiaro in the Cook Islands.
-
C.
Certa Cito
Certa Cito is the Latin motto of the British Army’s Royal Corps of Signals, reflecting their role in providing swift and reliable military communications.
-
D.
Niva
Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
-
E.
Maxus
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
- 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: Avenio Triple: [Siemens Mobility, brand, Avenio]
Generated description
Avenio is a low-floor tram and light rail vehicle platform developed by Siemens Mobility for urban public transportation systems worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avenio Target entity description: Avenio is a low-floor tram and light rail vehicle platform developed by Siemens Mobility for urban public transportation systems worldwide.
-
A.
Azuga
Azuga is a small mountain resort town in Romania known for its ski slopes and scenic location in the Carpathian Mountains.
-
B.
Auta
Auta is a small settlement on the island of Mitiaro in the Cook Islands.
-
C.
Certa Cito
Certa Cito is the Latin motto of the British Army’s Royal Corps of Signals, reflecting their role in providing swift and reliable military communications.
-
D.
Niva
Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
-
E.
Maxus
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395fa86cc8190b4f115b5a0f99772 |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652cca9c081909f705365c70db009 |
completed | April 8, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69d654ddaed88190bcd7f1a2ee9dd462 |
completed | April 8, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d655338cc08190ba00163f0afa4c3b |
completed | April 8, 2026, 1:16 p.m. |
Created at: April 6, 2026, 10:59 a.m.