Triple
T16709385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Paulo Tramway, Light and Power Company |
E406062
|
entity |
| Predicate | capitalOrigin |
P65105
|
FINISHED |
| Object | foreign investment |
—
|
LITERAL 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: foreign investment | Statement: [São Paulo Tramway, Light and Power Company, capitalOrigin, foreign investment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalOrigin Context triple: [São Paulo Tramway, Light and Power Company, capitalOrigin, foreign investment]
-
A.
capitalSince
Indicates that an entity has served as the capital of another entity starting from a specified point in time.
-
B.
capitalOfOrigin
Indicates that one entity is the capital city associated with the origin (such as birthplace, founding place, or source location) of another entity.
-
C.
capitalRenamedFrom
Indicates that a capital city previously had a different name, specifying the former name from which it was renamed.
-
D.
capitalDuringExistence
Indicates that a specified place served as the capital of an entity for some or all of the time that entity existed.
-
E.
sourceOfCapital
chosen
Indicates the origin or provider from which an entity obtains its financial capital or funding.
- F. None of above.
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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38650c3808190a561f22b169dc3ae |
completed | April 18, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69e319c379f88190ac0adf812486f598 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.