Triple
T11241695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Slim Helú |
E266086
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Fundación Telmex |
E618232
|
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: Fundación Telmex | Statement: [Carlos Slim Helú, founded, Fundación Telmex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fundación Telmex Context triple: [Carlos Slim Helú, founded, Fundación Telmex]
-
A.
Telmex
chosen
Telmex is a major Mexican telecommunications company that provides telephone, internet, and related services across Mexico and parts of Latin America.
-
B.
América Móvil
América Móvil is a Mexican telecommunications giant and one of the largest mobile network operators in Latin America, controlled by billionaire Carlos Slim.
-
C.
United Telecommunications
United Telecommunications was a major American telecommunications company that evolved through mergers and rebranding into what became Sprint Corporation.
-
D.
Telefónica S.A.
Telefónica S.A. is a major Spanish multinational telecommunications company that provides mobile, fixed-line, and broadband services across Europe and Latin America.
-
E.
Ferromex
Ferromex is one of Mexico’s largest freight railroad companies, operating an extensive rail network that connects key industrial and commercial regions across North America.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e919eaf48190a1457851cfc56afb |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f3eca6bc8190bc0640353a505ad5 |
completed | April 19, 2026, 3:25 p.m. |
Created at: April 8, 2026, 9:30 p.m.