Triple
T23169038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hibernia oil field |
E578792
|
entity |
| Predicate | platformWeight |
P151194
|
FINISHED |
| Object | approximately 1.2 million tonnes (dry) |
—
|
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: approximately 1.2 million tonnes (dry) | Statement: [Hibernia oil field, platformWeight, approximately 1.2 million tonnes (dry) ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformWeight Context triple: [Hibernia oil field, platformWeight, approximately 1.2 million tonnes (dry) ]
-
A.
platformSize
Indicates the relative or absolute size or dimensions of a platform in relation to something else.
-
B.
platformLength
Indicates that one entity specifies the physical length or extent of a platform associated with another entity.
-
C.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
D.
wheelWeightTypical
Indicates the typical or standard weight associated with a wheel.
-
E.
weightSupport
Indicates that one entity bears or carries the physical weight of another, providing structural or mechanical support.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2e5e208190839ec37de4b974af |
completed | April 29, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b75e2708190ba48875e36f983bc |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4:03 p.m.