Triple
T25846822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timor–Alor–Pantar area |
E651091
|
entity |
| Predicate | hasTimePeriodOfIntensiveStudy |
P160100
|
FINISHED |
| Object | late 20th 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: late 20th century | Statement: [Timor–Alor–Pantar area, hasTimePeriodOfIntensiveStudy, late 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimePeriodOfIntensiveStudy Context triple: [Timor–Alor–Pantar area, hasTimePeriodOfIntensiveStudy, late 20th century]
-
A.
studiedDuring
Indicates that an entity engaged in study or academic activity within a specified time period or interval.
-
B.
timeOfMostIntenseStudy
chosen
Indicates the specific time period during which an entity engages in its highest level of study intensity.
-
C.
hasBeenStudiedFor
Indicates that an entity has been the subject of research, examination, or analysis for a specified purpose, topic, or application.
-
D.
hasBeenStudiedSince
Indicates that an entity has been the subject of study or research starting from a specified point in time and continuing thereafter.
-
E.
hasLanguageOfStudy
Indicates that an entity studies or is engaged in learning a particular language.
- 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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 22, 2026, 7:53 a.m.