Triple
T10376046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AREA |
E244509
|
entity |
| Predicate | networkOwnershipModel |
P93651
|
FINISHED |
| Object | public infrastructure under private concession |
—
|
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: public infrastructure under private concession | Statement: [AREA, networkOwnershipModel, public infrastructure under private concession]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkOwnershipModel Context triple: [AREA, networkOwnershipModel, public infrastructure under private concession]
-
A.
networkOwner
Indicates that one entity holds ownership or primary control over a particular network.
-
B.
networkOwnedStatus
Indicates whether an entity is owned, controlled, or otherwise possessed by a particular network.
-
C.
networkModel
Indicates a relationship where an entity is represented or organized according to a specific network-based structure or framework.
-
D.
isPartOfNetworkManagedBy
Indicates that an entity belongs to and operates under the control or administration of a specific network management authority or system.
-
E.
ownsOrManages
Indicates that one entity has ownership of, or managerial control over, another entity.
- F. None of above. chosen
Provenance (4 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e98278e08190a4d3ff88b4039e49 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:02 p.m.