Triple
T29206842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1920 United States Census |
E740433
|
entity |
| Predicate | processingTechnology |
P35348
|
FINISHED |
| Object |
Hollerith punched card tabulating machines
Hollerith punched card tabulating machines were early electromechanical data-processing devices that used punched cards to rapidly sort, count, and tabulate large volumes of information for statistical and administrative purposes.
|
E1856695
|
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: Hollerith punched card tabulating machines | Statement: [1920 United States Census, processingTechnology, Hollerith punched card tabulating machines]
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: Hollerith punched card tabulating machines Triple: [1920 United States Census, processingTechnology, Hollerith punched card tabulating machines]
Generated description
Hollerith punched card tabulating machines were early electromechanical data-processing devices that used punched cards to rapidly sort, count, and tabulate large volumes of information for statistical and administrative purposes.
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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f664022f0881908c77482eeead99d2 |
completed | May 2, 2026, 8:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2569c335e8819092760b51b1224dc5 |
completed | June 7, 2026, 12:53 p.m. |
| NEDg | Description generation | batch_6a256fb17a888190bde616b95d66ab47 |
completed | June 7, 2026, 1:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a257363fb188190a0d5a94306c948dd |
completed | June 7, 2026, 1:34 p.m. |
Created at: April 28, 2026, 12:09 p.m.