Triple
T6049194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tram line 12 (Geneva) |
E134744
|
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: [Tram line 12 (Geneva), fareSystem, unireso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: unireso Context triple: [Tram line 12 (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.
UniGe
UniGe is the commonly used abbreviation for the University of Genoa, a major public research university located in Genoa, Italy.
-
C.
UniBE
UniBE is the commonly used abbreviation for the University of Bern, a major public research university located in Bern, Switzerland.
-
D.
Hokkaido University
Hokkaido University is a major national research university in Sapporo, Japan, known for its broad academic offerings, strong science and agriculture programs, and spacious, park-like campus.
-
E.
Osaka University
Osaka University is a leading Japanese national research university known for its strong programs in science, engineering, and medicine and its major contributions to academic and industrial innovation.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056f4f84c8190a7e2416d81b3554c |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d077fe48190af9f896df9028800 |
completed | March 23, 2026, 10:59 a.m. |
Created at: March 22, 2026, 4:09 p.m.