Triple
T2053084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Cod Mall |
E45612
|
entity |
| Predicate | hasFormerAnchorTenant |
P18036
|
FINISHED |
| Object |
Filene's
Filene's was a historic American department store chain based in Boston, known for its flagship store and influential bargain basement retailing concept.
|
E230008
|
NE FINISHED |
How this triple was built (4 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: Filene's | Statement: [Cape Cod Mall, hasFormerAnchorTenant, Filene's]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filene's Context triple: [Cape Cod Mall, hasFormerAnchorTenant, Filene's]
-
A.
Flen
Flen is a small Swedish town known as the administrative center of Flen Municipality in the province of Södermanland.
-
B.
Fink
Fink is a British singer-songwriter and producer known for his atmospheric blend of folk, blues, and electronic music.
-
C.
Fink
Fink is an open-source package management system that brings a wide range of Unix and open-source software to macOS by compiling and distributing it in a convenient, Debian-like format.
-
D.
Filey
Filey is a small seaside town and former fishing village on the North Sea coast of North Yorkshire, England, known for its long sandy beach and traditional holiday resort character.
-
E.
Fischeln
Fischeln is a district of the German city of Krefeld in the state of North Rhine-Westphalia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Filene's Triple: [Cape Cod Mall, hasFormerAnchorTenant, Filene's]
Generated description
Filene's was a historic American department store chain based in Boston, known for its flagship store and influential bargain basement retailing concept.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Filene's Target entity description: Filene's was a historic American department store chain based in Boston, known for its flagship store and influential bargain basement retailing concept.
-
A.
Flen
Flen is a small Swedish town known as the administrative center of Flen Municipality in the province of Södermanland.
-
B.
Fink
Fink is a British singer-songwriter and producer known for his atmospheric blend of folk, blues, and electronic music.
-
C.
Fink
Fink is an open-source package management system that brings a wide range of Unix and open-source software to macOS by compiling and distributing it in a convenient, Debian-like format.
-
D.
Filey
Filey is a small seaside town and former fishing village on the North Sea coast of North Yorkshire, England, known for its long sandy beach and traditional holiday resort character.
-
E.
Fischeln
Fischeln is a district of the German city of Krefeld in the state of North Rhine-Westphalia.
- F. None of above. chosen
Provenance (5 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb99196ec819096f491ac7732156a |
completed | March 7, 2026, 5:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae200c10848190b557332d39f1854d |
completed | March 9, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69ae20a6ce14819098007416d6377f2e |
completed | March 9, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2130ba448190b91f590a348ebf88 |
completed | March 9, 2026, 1:24 a.m. |
Created at: March 4, 2026, 7:39 p.m.