Triple
T10423159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 7 (Geneva) |
E245713
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object | Unireso |
E127786
|
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: Unireso | Statement: [Line 7 (Geneva), fareSystem, Unireso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unireso Context triple: [Line 7 (Geneva), fareSystem, Unireso]
-
A.
unireso
chosen
unireso is the integrated public transport fare network for the Geneva region, coordinating tickets and tariffs across multiple operators and modes of transport.
-
B.
Osan University
Osan University is a higher education institution located in Osan, a city in Gyeonggi Province, South Korea.
-
C.
Todai
Todai is the common nickname for the University of Tokyo, Japan’s most prestigious and influential national research university.
-
D.
Hoshi University
Hoshi University is a private Japanese university in Tokyo known for its specialized programs in pharmaceutical sciences and related health fields.
-
E.
Misurata University
Misurata University is a public higher education institution in the city of Misrata, Libya, offering a range of undergraduate and postgraduate programs across multiple disciplines.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2de4d48190aee65b3f6ec3cc48 |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc2160208190b6384190d9537df4 |
completed | April 9, 2026, 7:21 p.m. |
Created at: April 6, 2026, 12:12 p.m.