Triple
T29401031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torosa gas field |
E745641
|
entity |
| Predicate | projectNameAssociation |
P58621
|
FINISHED |
| Object | Browse LNG |
—
|
NE NERFINISHED |
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: Browse LNG | Statement: [Torosa gas field, projectNameAssociation, Browse LNG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: projectNameAssociation Context triple: [Torosa gas field, projectNameAssociation, Browse LNG]
-
A.
parentProject
Indicates that one project serves as the direct higher-level or containing project in relation to another project.
-
B.
associatedWithResourceProjects
Indicates a relationship where an entity is linked or connected to specific resource-related projects, such as their development, management, or use.
-
C.
projectModel
Indicates a relationship where one entity serves as a model, template, or representation for a project or projected outcome involving another entity.
-
D.
exportProject
Indicates initiating the transfer or packaging of a project’s data or configuration from one system, format, or environment to another.
-
E.
relatedToProject
chosen
Indicates that an entity has a connection or association with a specific project, without specifying the exact nature of that involvement.
- 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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66a0772648190b5083f0fa099137c |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 2:51 p.m.