Triple
T30220108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xia–Shang–Zhou Chronology Project |
E768319
|
entity |
| Predicate | timeSpanStudied |
P170446
|
FINISHED |
| Object | early second millennium BCE |
—
|
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: early second millennium BCE | Statement: [Xia–Shang–Zhou Chronology Project, timeSpanStudied, early second millennium BCE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSpanStudied Context triple: [Xia–Shang–Zhou Chronology Project, timeSpanStudied, early second millennium BCE]
-
A.
studiedDuring
Indicates that an entity engaged in study or academic activity within a specified time period or interval.
-
B.
timeOfMostIntenseStudy
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.
oftenStudiedBetween
Indicates that something is frequently examined, researched, or analyzed in relation to two or more entities.
- 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_69f2247fd8b8819087fcf83cb7a05eb8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 29, 2026, 7:34 p.m.