Triple
T5964960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palm Desert, California |
E132727
|
entity |
| Predicate | medianAgeCharacteristic |
P2501
|
FINISHED |
| Object | large retirement population |
—
|
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: large retirement population | Statement: [Palm Desert, California, medianAgeCharacteristic, large retirement population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medianAgeCharacteristic Context triple: [Palm Desert, California, medianAgeCharacteristic, large retirement population]
-
A.
medianAgeHigherThan
Indicates that the median age of one group, population, or set is greater than the median age of another.
-
B.
averageAge
Indicates the mean age value calculated from a group of entities or individuals.
-
C.
demographicsCharacteristic
Indicates that one entity serves as a demographic attribute or characteristic (such as age, gender, ethnicity, etc.) that describes or classifies another entity.
-
D.
populationAge
Indicates the age or age distribution of a population associated with an entity.
-
E.
demographicCharacteristic
chosen
Indicates that one entity specifies or describes a demographic attribute or feature (such as age, gender, ethnicity, or similar population-related trait) of another entity.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:03 p.m.