Triple
T2292784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tirhuta script |
E51541
|
entity |
| Predicate | timePeriodOfWidespreadUse |
P3656
|
FINISHED |
| Object | medieval period |
—
|
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: medieval period | Statement: [Tirhuta script, timePeriodOfWidespreadUse, medieval period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfWidespreadUse Context triple: [Tirhuta script, timePeriodOfWidespreadUse, medieval period]
-
A.
historicalPeriodOfUse
chosen
Indicates the time period during which something was in active use or commonly utilized.
-
B.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
-
C.
firstWidelyUsedFor
Indicates that something was the earliest instance to be broadly adopted or commonly used for a particular purpose or application.
-
D.
yearOfUse
Indicates the specific year during which something was in use or actively utilized.
-
E.
durationOfUse
Indicates the length of time for which something is used or remains in use.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcd0e42248190ada33b84d75caa64 |
completed | March 7, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69abc589295c819092989820c2b4e9d8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:48 p.m.