Triple
T30062353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chengjiang County |
E763923
|
entity |
| Predicate | hasScientificImportanceNearby |
P181755
|
FINISHED |
| Object | Chengjiang Fossil Site |
—
|
NE NERFINISHED |
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: Chengjiang Fossil Site | Statement: [Chengjiang County, hasScientificImportanceNearby, Chengjiang Fossil Site]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScientificImportanceNearby Context triple: [Chengjiang County, hasScientificImportanceNearby, Chengjiang Fossil Site]
-
A.
hasScientificInterestIn
Indicates that one entity holds a scientific curiosity, concern, or research focus directed toward another entity.
-
B.
hasResearchImportance
Indicates that something holds significance or value within a research context, such as contributing meaningfully to scientific or scholarly investigation.
-
C.
nearbyScientificAchievement
Indicates that a scientific achievement occurs or exists in close spatial proximity to a specified reference point or entity.
-
D.
hasScientificValue
Indicates that something possesses significance, usefulness, or merit within scientific research, understanding, or methodology.
-
E.
hasNearbyResearchStations
Indicates that one entity has research stations located in close geographical proximity to it.
- 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7824dc3f0819092a5102895b4a478 |
completed | May 3, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f7817c79e081908e685c48165e086b |
completed | May 3, 2026, 5:10 p.m. |
Created at: April 29, 2026, 6:58 p.m.