Triple
T504371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comboios de Portugal |
E10469
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Intercidades |
E20070
|
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: Intercidades | Statement: [Comboios de Portugal, brand, Intercidades]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Intercidades Context triple: [Comboios de Portugal, brand, Intercidades]
-
A.
Tren Urbano
Tren Urbano is a rapid transit rail system serving the San Juan metropolitan area in Puerto Rico, providing urban mass transportation across key municipalities.
-
B.
São Paulo Metro
The São Paulo Metro is a major rapid transit system serving the city of São Paulo, Brazil, known for its extensive network, high ridership, and role as a backbone of the city's public transportation.
-
C.
InterCity
chosen
InterCity is a category of long-distance passenger trains in several European countries, notably providing fast, regular intercity rail services.
-
D.
Tren Ligero
Tren Ligero is a light rail transit system in Mexico City that complements the metro and bus networks by serving southern areas of the city.
-
E.
Campinas
Campinas is a major city in the state of São Paulo, Brazil, known as an important industrial, technological, and transportation hub in the country.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f149bd1c81908ff58ac504ace2bf |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a48a7b71848190ab3e69fc84779301 |
completed | March 1, 2026, 6:50 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.