Triple
T16682367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5 WTC |
E405369
|
entity |
| Predicate | structuralEngineer |
P616
|
FINISHED |
| Object | WSP Global |
E36118
|
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: WSP Global | Statement: [5 WTC, structuralEngineer, WSP Global]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WSP Global Context triple: [5 WTC, structuralEngineer, WSP Global]
-
A.
WSP Global
chosen
WSP Global is a Canadian-based multinational professional services firm specializing in engineering, design, and consulting for infrastructure, environmental, building, and transportation projects worldwide.
-
B.
Louis Berger Group
Louis Berger Group is a global engineering and infrastructure consulting firm known for designing and managing major transportation and civil works projects worldwide.
-
C.
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.
-
D.
WSP
WSP is the station code for Weesperplein, a metro station in Amsterdam, Netherlands.
-
E.
AECOM
AECOM is a global infrastructure consulting firm that provides architecture, engineering, construction management, and related professional services for large-scale public and private 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d7018448190b3cb23191322044e |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a404f448190a9dc7831382ffcdc |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.