Triple
T504305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infraestruturas de Portugal |
E10467
|
entity |
| Predicate | typeOfOwnership |
P7585
|
FINISHED |
| Object | 100% state-owned |
—
|
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: 100% state-owned | Statement: [Infraestruturas de Portugal, typeOfOwnership, 100% state-owned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfOwnership Context triple: [Infraestruturas de Portugal, typeOfOwnership, 100% state-owned]
-
A.
ownershipType
chosen
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
B.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
C.
typeOfRight
Indicates the specific category or nature of a right that is held, exercised, or assigned in a given context.
-
D.
ownsPropertyIn
Indicates that one entity possesses legal ownership rights over property located within a specified place or jurisdiction.
-
E.
ownedBy
Indicates that one entity possesses legal or rightful ownership of another entity.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f149bd1c81908ff58ac504ace2bf |
completed | Feb. 28, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69a2edfce7a08190a408bc019de60d5d |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.