Triple
T6423131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triangle Shirtwaist Factory fire |
E127992
|
entity |
| Predicate | floorLevelsAffected |
P70788
|
FINISHED |
| Object | 8th floor |
—
|
LITERAL 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: 8th floor | Statement: [Triangle Shirtwaist Factory fire, floorLevelsAffected, 8th floor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floorLevelsAffected Context triple: [Triangle Shirtwaist Factory fire, floorLevelsAffected, 8th floor]
-
A.
floorHeight
Indicates the vertical elevation or level at which a particular floor is positioned within a structure.
-
B.
floorCount
Indicates the number of floors or levels that a building or structure has.
-
C.
roofLevel
Indicates the vertical level or story of a building at which the roof is located or begins.
-
D.
floorAccess
Indicates that an entity is permitted to enter or use a specific floor or level within a building or structure.
-
E.
numberOfBasementLevels
Indicates the total count of basement levels associated with a given structure or property.
- F. None of above. chosen
Provenance (4 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0690576c48190b5db5464eacc9de3 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f780b08190aa650b4d1fc51f21 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c062d290448190a2183158ef75d129 |
completed | March 22, 2026, 9:44 p.m. |
Created at: March 22, 2026, 4:43 p.m.