Triple
T2189383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shroud of Turin |
E49825
|
entity |
| Predicate | firstCertainHistoricalRecord |
P3921
|
FINISHED |
| Object | mid-14th century |
—
|
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: mid-14th century | Statement: [Shroud of Turin, firstCertainHistoricalRecord, mid-14th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCertainHistoricalRecord Context triple: [Shroud of Turin, firstCertainHistoricalRecord, mid-14th century]
-
A.
firstClearlyAttestedIn
chosen
Indicates the earliest known point in time or source where something is clearly documented or evidenced.
-
B.
historicallyRecordedSince
Indicates that the existence, occurrence, or recognition of one entity has been documented in historical records starting from the time specified by another entity.
-
C.
firstRecordingDate
Indicates the date on which an entity’s first recording (e.g., audio, video, or similar captured performance) was made.
-
D.
historicalExistence
Indicates that an entity actually existed at some point in real-world history, as opposed to being fictional, hypothetical, or mythological.
-
E.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
- F. None of above.
Provenance (3 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda32d1881909d1fd83a751fb21c |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.