Triple
T35529853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Senate inquiry into the sinking of the RMS Titanic |
E1026768
|
entity |
| Predicate | concerning |
P11116
|
FINISHED |
| Object | sinking of the RMS Titanic |
—
|
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: sinking of the RMS Titanic | Statement: [United States Senate inquiry into the sinking of the RMS Titanic, concerning, sinking of the RMS Titanic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concerning Context triple: [United States Senate inquiry into the sinking of the RMS Titanic, concerning, sinking of the RMS Titanic]
-
A.
concern
chosen
Indicates that one entity is about, relates to, or is of interest or importance to another entity.
-
B.
concernedSee
Indicates that one entity looks at or observes another with a sense of worry, care, or concern.
-
C.
concernedRite
Indicates that a rite, ritual, or ceremonial act is the focus or subject of concern, involvement, or relevance in the relationship.
-
D.
subjectOfConcernFor
Indicates that one entity is regarded as a matter of worry, interest, or attention for another entity.
-
E.
raisedConcernAbout
Indicates that one entity has expressed worry, doubt, or objection regarding another entity or issue.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:04 p.m.