Triple
T10950620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elphi |
E258715
|
entity |
| Predicate | constructionCompany |
P63332
|
FINISHED |
| Object | Hochtief |
E261848
|
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: Hochtief | Statement: [Elphi, constructionCompany, Hochtief]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hochtief Context triple: [Elphi, constructionCompany, Hochtief]
-
A.
Hochtief
chosen
Hochtief is a major German-based global construction group known for large-scale infrastructure, engineering, and building projects worldwide.
-
B.
Swissbau
Swissbau is a major Swiss trade fair and exhibition platform focused on the construction, real estate, and architecture sectors.
-
C.
BESIX
BESIX is a major Belgian construction and engineering company known for delivering large-scale, high-profile projects worldwide.
-
D.
Skanska AB
Skanska AB is a multinational Swedish construction and project development company known for large-scale infrastructure, commercial, and residential projects worldwide.
-
E.
Balfour Beatty
Balfour Beatty is a leading international infrastructure group based in the United Kingdom, specializing in construction, engineering, and support services for major public and private sector projects.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ed2f1c819081ec58457f57889d |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c57038c819087671177c2ed5633 |
completed | April 17, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:23 p.m.