Triple
T11866786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walsh Construction Company |
E282303
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | The Walsh Group |
E950954
|
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: The Walsh Group | Statement: [Walsh Construction Company, partOf, The Walsh Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Walsh Group Context triple: [Walsh Construction Company, partOf, The Walsh Group]
-
A.
The Walsh Group
chosen
The Walsh Group is a major U.S.-based construction and general contracting firm known for large-scale infrastructure, building, and transportation projects.
-
B.
Marshall Group
Marshall Group is a British aerospace and defense company based in Cambridge, known for its aviation services, engineering, and property businesses.
-
C.
WB Group
WB Group is a leading Polish defense technology company specializing in advanced military communications, unmanned systems, and battlefield management solutions.
-
D.
Whitney Group
Whitney Group is a private risk management and security consultancy firm known for employing former government and intelligence officials.
-
E.
Bell-Mason Group
Bell-Mason Group is a consulting and advisory firm best known for developing the Bell-Mason Diagnostic, a framework for assessing and guiding the growth of technology startups and ventures.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a73a233081909449ab294d01a512 |
completed | April 10, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417bb131c8190b0923e077cca74be |
completed | May 1, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:43 p.m.