Triple
T9048884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atria Watford |
E216829
|
entity |
| Predicate | anchorTenant |
P11754
|
FINISHED |
| Object | Primark |
E139736
|
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: Primark | Statement: [Atria Watford, anchorTenant, Primark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Primark Context triple: [Atria Watford, anchorTenant, Primark]
-
A.
Primark
chosen
Primark is a major Irish-founded fast-fashion retail chain known for its low-priced clothing, accessories, and home goods, operating under the Penneys brand in Ireland and Primark elsewhere in Europe and the United States.
-
B.
H&M
H&M is a global fast-fashion retail chain known for offering trendy clothing and accessories at affordable prices.
-
C.
H&M
H&M, in this context, refers to the historic Hudson and Manhattan Railroad, an early 20th-century rapid transit system that connected Manhattan with New Jersey and served as a predecessor to today’s PATH trains.
-
D.
M&S
M&S is the commonly used abbreviation for McClelland and Stewart, a prominent Canadian publishing company known for its influential literary catalog.
-
E.
Debenhams
Debenhams was a major British department store chain offering fashion, beauty, and home goods through high-street locations and online retail.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b51aa708190a37feecfd8deed2f |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebc0fd648190b0dd6cf62605b98f |
completed | April 3, 2026, 4:33 p.m. |
Created at: March 30, 2026, 7:09 p.m.