Triple

T21638003
Position Surface form Disambiguated ID Type / Status
Subject Square One Mall E534010 entity
Predicate previousAnchorTenant P145346 FINISHED
Object Lechmere
Lechmere was a New England–based chain of retail stores known for selling electronics, appliances, and general merchandise before its closure in the late 1990s.
 E1493782 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: Lechmere | Statement: [Square One Mall, previousAnchorTenant, Lechmere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lechmere
Context triple: [Square One Mall, previousAnchorTenant, Lechmere]
  • A. Lechmere
    Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
  • B. Levasy
    Levasy is a small city located in Jackson County in the U.S. state of Missouri.
  • C. Leunovo
    Leunovo is a small village located in the mountainous Mavrovo region of North Macedonia, known for its natural scenery and proximity to Mavrovo National Park.
  • D. Leyhof
    Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
  • E. Lemery
    Lemery is a coastal municipality in the province of Batangas in the Philippines, known for its commercial activity and proximity to Taal Lake and Volcano.
  • 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: Lechmere
Triple: [Square One Mall, previousAnchorTenant, Lechmere]
Generated description
Lechmere was a New England–based chain of retail stores known for selling electronics, appliances, and general merchandise before its closure in the late 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lechmere
Target entity description: Lechmere was a New England–based chain of retail stores known for selling electronics, appliances, and general merchandise before its closure in the late 1990s.
  • A. Lechmere
    Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
  • B. Levasy
    Levasy is a small city located in Jackson County in the U.S. state of Missouri.
  • C. Leunovo
    Leunovo is a small village located in the mountainous Mavrovo region of North Macedonia, known for its natural scenery and proximity to Mavrovo National Park.
  • D. Leyhof
    Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
  • E. Lemery
    Lemery is a coastal municipality in the province of Batangas in the Philippines, known for its commercial activity and proximity to Taal Lake and Volcano.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef538eef0481908f5bf0e27f8e054d completed April 27, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0f9de1fc8190bd44ba90877385c1 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a106d521481909aff885d50adbda1 completed May 17, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0a10e6cda481908c263911f681c337 completed May 17, 2026, 7:03 p.m.
Created at: April 16, 2026, 6:35 p.m.