Triple
T9452623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skanska AB |
E227930
|
entity |
| Predicate | renamedTo |
P3432
|
FINISHED |
| Object | Skanska AB |
E227930
|
NE 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: Skanska AB | Statement: [Skanska AB, renamedTo, Skanska AB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skanska AB Context triple: [Skanska AB, renamedTo, Skanska AB]
-
A.
Skanska AB
chosen
Skanska AB is a multinational Swedish construction and project development company known for large-scale infrastructure, commercial, and residential projects worldwide.
-
B.
Skanska USA Building Inc.
Skanska USA Building Inc. is the U.S. construction and development arm of the global Skanska group, known for managing large, complex building projects across the country.
-
C.
Hochtief
Hochtief is a major German-based global construction group known for large-scale infrastructure, engineering, and building projects worldwide.
-
D.
Ramboll
Ramboll is a global engineering, design, and consultancy company known for delivering innovative and sustainable solutions in buildings, transport, environment, energy, and infrastructure projects.
-
E.
Stena AB
Stena AB is a Swedish privately owned conglomerate with major operations in shipping, ferry services, offshore drilling, and real estate.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f68f9b081908bee041d4fc77e57 |
completed | April 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1227b4fc881908c03409f78de1a87 |
completed | April 4, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:52 p.m.