Triple
T4936869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Route 24E |
E110832
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Carris |
E104039
|
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: Carris | Statement: [Route 24E, operator, Carris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carris Context triple: [Route 24E, operator, Carris]
-
A.
Carris
chosen
Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
-
B.
Carr
Carr is a common English and Irish surname with multiple notable bearers across fields such as sports, politics, and the arts.
-
C.
Carriera
Carriera is the Italian surname of Rosalba Carriera, an influential 18th-century Venetian Rococo painter renowned for her pastel portraits.
-
D.
Caron
Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
-
E.
Farris
Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7085b1dc819099408f6503f0210f |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c4857cc819085fbdd996134a5e8 |
completed | March 21, 2026, 1:25 p.m. |
Created at: March 20, 2026, 1:30 p.m.