Triple
T3370201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vianen |
E70934
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Randstad |
E33858
|
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: Randstad | Statement: [Vianen, region, Randstad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randstad Context triple: [Vianen, region, Randstad]
-
A.
ManpowerGroup
ManpowerGroup is a global workforce solutions and staffing services company that provides recruitment, talent management, and outsourcing services to businesses worldwide.
-
B.
Randstad metropolitan region
chosen
The Randstad metropolitan region is a densely populated urban area in the western Netherlands that includes major cities such as Amsterdam, Rotterdam, The Hague, and Utrecht, forming the country’s primary economic and cultural hub.
-
C.
Recruit Holdings
Recruit Holdings is a Japanese human resources and marketing conglomerate best known globally as the owner of major job search platform Indeed.
-
D.
Groupe ADP
Groupe ADP is a major French airport management company that owns and operates the Paris-area airports and provides aviation and related services worldwide.
-
E.
Towers Watson
Towers Watson was a global professional services firm specializing in risk management, insurance brokerage, and human capital consulting.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2b9b1fc8190a2cbf040ea808baf |
completed | March 8, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367ee84408190b167673d6f7ba6b0 |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:13 p.m.