Triple
T23853821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triangle Waist Company |
E592247
|
entity |
| Predicate | operatedFloor |
P5519
|
FINISHED |
| Object |
9th floor of the Asch Building
The 9th floor of the Asch Building was one of the primary workspaces of the Triangle Waist Company and a central site of the 1911 Triangle Shirtwaist Factory fire, a pivotal tragedy in U.S. labor history.
|
E1605762
|
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: 9th floor of the Asch Building | Statement: [Triangle Waist Company, operatedFloor, 9th floor of the Asch Building]
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: 9th floor of the Asch Building Triple: [Triangle Waist Company, operatedFloor, 9th floor of the Asch Building]
Generated description
The 9th floor of the Asch Building was one of the primary workspaces of the Triangle Waist Company and a central site of the 1911 Triangle Shirtwaist Factory fire, a pivotal tragedy in U.S. labor history.
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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c98954748190b39e0ac69e5625f9 |
completed | April 29, 2026, 9:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f69b3dd908190976e4d8eba864d77 |
completed | May 21, 2026, 8:23 p.m. |
| NEDg | Description generation | batch_6a0f6d4205ac8190a2be21159c3117bf |
completed | May 21, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f6e661d04819090ed01c4813ea238 |
completed | May 21, 2026, 8:43 p.m. |
Created at: April 17, 2026, 8:11 p.m.