Triple
T14511143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Field LNG projects |
E340396
|
entity |
| Predicate | gasFieldSizeRanking |
P79538
|
FINISHED |
| Object | largest non-associated gas field in the world |
—
|
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: largest non-associated gas field in the world | Statement: [North Field LNG projects, gasFieldSizeRanking, largest non-associated gas field in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gasFieldSizeRanking Context triple: [North Field LNG projects, gasFieldSizeRanking, largest non-associated gas field in the world]
-
A.
fieldSize
Indicates the magnitude or dimensions of a field associated with an entity or context.
-
B.
rankBySize
Indicates that entities are ordered or compared based on their size.
-
C.
rankBySizeInWorld
chosen
Indicates that entities are ordered according to their relative size within the context of the entire world.
-
D.
capacityRank
Indicates the relative ordering of entities based on how much capacity (e.g., volume, throughput, or capability) they possess compared to others.
-
E.
rankOverField
Indicates that one entity’s rank or ordering is determined relative to another entity within a specified field or domain.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e5b7b48190878be271840c265b |
completed | April 14, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:21 a.m.