Triple
T3088138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plain of Jars |
E64422
|
entity |
| Predicate | majorStudyYear |
P45816
|
FINISHED |
| Object | 1930s |
—
|
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: 1930s | Statement: [Plain of Jars, majorStudyYear, 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorStudyYear Context triple: [Plain of Jars, majorStudyYear, 1930s]
-
A.
offersPostgraduateYear
Indicates that an institution or program provides a specific postgraduate year position or training opportunity to an individual.
-
B.
fullCollegeStatusYear
Indicates the year in which an entity attained or was recognized with full college status.
-
C.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
-
D.
partOfStudy
Indicates that something is a component, segment, or subset within a larger study or research project.
-
E.
majorExamination
Indicates that an entity is formally assessed through a significant or high-stakes examination or test.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada209fd24819088d887de0a4158f4 |
completed | March 8, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69ad9ded78f881908be6fc0fb7c35764 |
completed | March 8, 2026, 4:03 p.m. |
| PDg | Predicate description generation | batch_69ada0f6fef48190b13898be383a246b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:03 p.m.