Triple
T14826179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambing Flat |
E348577
|
entity |
| Predicate | hasDemographicIssue |
P58038
|
FINISHED |
| Object | tension between European and Chinese miners |
—
|
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: tension between European and Chinese miners | Statement: [Lambing Flat, hasDemographicIssue, tension between European and Chinese miners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDemographicIssue Context triple: [Lambing Flat, hasDemographicIssue, tension between European and Chinese miners]
-
A.
hasDemographic
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
B.
hasDemographicPattern
Indicates that there is a characteristic distribution or trend of attributes (such as age, gender, income, or ethnicity) within a population or group.
-
C.
hasGenderDistributionIssues
Indicates that the entity exhibits problems, imbalances, or inequities related to the distribution or representation of different genders.
-
D.
involvesDemographic
chosen
Indicates that an action, event, or entity is related to, affects, or includes a specific demographic group or population segment.
-
E.
hasDemographicPresenceIn
Indicates that a particular demographic group exists or is represented within a specified geographic area or population context.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0713700819097bbb0352650984b |
completed | April 14, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:51 a.m.