Triple
T12119845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skilling, Helle, Christiansen, Robertson |
E288663
|
entity |
| Predicate | roleInWorldTradeCenter |
P103386
|
FINISHED |
| Object | structural engineer |
—
|
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: structural engineer | Statement: [Skilling, Helle, Christiansen, Robertson, roleInWorldTradeCenter, structural engineer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInWorldTradeCenter Context triple: [Skilling, Helle, Christiansen, Robertson, roleInWorldTradeCenter, structural engineer]
-
A.
majorTradeRole
Indicates that an entity plays a primary or highly significant role in trade activities or commercial exchange within a given context.
-
B.
roleInBeltAndRoad
Indicates the specific function, involvement, or capacity an entity has within the context of the Belt and Road Initiative.
-
C.
roleInEverGivenIncident
Indicates that one entity had a specific role or involvement in the Ever Given shipping incident.
-
D.
One World Trade CenterInstanceOf
Indicates that One World Trade Center belongs to or is classified as a specific type or class of thing (its general category).
-
E.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9164ada5081908676bd9e5947268a |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150497408190921334d21503375a |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d916481a008190ae66677b9e6dd961 |
completed | April 10, 2026, 3:24 p.m. |
Created at: April 8, 2026, 9:49 p.m.