Triple
T28379453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grain LNG terminal |
E718850
|
entity |
| Predicate | hasImportCapability |
P173247
|
FINISHED |
| Object | liquefied natural gas |
—
|
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: liquefied natural gas | Statement: [Grain LNG terminal, hasImportCapability, liquefied natural gas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImportCapability Context triple: [Grain LNG terminal, hasImportCapability, liquefied natural gas]
-
A.
hasCap
Indicates that an entity possesses or is equipped with a cap or top covering.
-
B.
requiresCapability
Indicates that one entity depends on another entity possessing a specific capability in order for an action, function, or condition to be fulfilled.
-
C.
isPartOfCapability
Indicates that one capability is a component or sub-function within a broader, composite capability.
-
D.
usesCapabilityModel
Indicates that one entity employs or relies on a specific capability model to perform its functions or make decisions.
-
E.
hasTestCapability
Indicates that an entity possesses the ability or functionality to perform a specified test or set of tests.
- 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6b342499c8190b85009a3f0f179e4 |
completed | May 3, 2026, 2:30 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b2a31e008190aacef03c2ebe5787 |
completed | May 3, 2026, 2:27 a.m. |
Created at: April 28, 2026, 1:05 a.m.