Triple
T34769915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOEX Offshore 2007 |
E1002334
|
entity |
| Predicate | liabilityContext |
P181596
|
FINISHED |
| Object | environmental damage claims |
—
|
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: environmental damage claims | Statement: [MOEX Offshore 2007, liabilityContext, environmental damage claims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liabilityContext Context triple: [MOEX Offshore 2007, liabilityContext, environmental damage claims]
-
A.
liabilityType
Indicates the specific category or nature of liability associated with an entity, obligation, or financial exposure.
-
B.
establishesLiabilityFor
Indicates that one party is held legally responsible or accountable for a particular act, omission, or outcome.
-
C.
modeOfLiability
Indicates the specific legal basis or manner in which an entity is held responsible for an act or outcome.
-
D.
safetyContext
Indicates the circumstances, conditions, or environment that affect how safe an action, object, or situation is.
-
E.
legalContext
Indicates that the relationship or action occurs within, is shaped by, or is relevant to a specific legal framework, proceeding, or set of legal norms.
- 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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.