Triple
T34197975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benioff seismograph |
E877294
|
entity |
| Predicate | recordsOn |
P194775
|
FINISHED |
| Object | smoked paper |
—
|
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: smoked paper | Statement: [Benioff seismograph, recordsOn, smoked paper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordsOn Context triple: [Benioff seismograph, recordsOn, smoked paper]
-
A.
recordsWith
Indicates that one entity keeps or maintains documented information about another entity or event.
-
B.
recordsObject
Indicates that one entity creates or maintains a record of another entity as its subject or content.
-
C.
recordsType
Indicates that one entity documents, stores, or keeps an official account of a particular type or category of information, event, or item.
-
D.
recordsOnAppeal
Indicates that certain records or documents are included in, or pertain to, the official record for an appeal in a legal or administrative proceeding.
-
E.
recordSetAt
Indicates that a record or data entry was created, stored, or established at a specific time or location.
- 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_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd864235b481908738dbb69556bc62 |
completed | May 8, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69fd8373b6bc819091c554f29ee17fec |
completed | May 8, 2026, 6:32 a.m. |
| PDg | Predicate description generation | batch_69fd8640e1d4819081c98f15eeb221ab |
completed | May 8, 2026, 6:44 a.m. |
Created at: May 1, 2026, 1:55 a.m.