Triple
T25722362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modi'in Illit |
E645025
|
entity |
| Predicate | hasHighBirthRate |
P173671
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Modi'in Illit, hasHighBirthRate, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighBirthRate Context triple: [Modi'in Illit, hasHighBirthRate, true]
-
A.
containsYoungPopulations
Indicates that the subject includes or is characterized by a significant presence of young or recently formed populations.
-
B.
populationIncrease
Indicates that the number of individuals in a population has grown over a specified period of time.
-
C.
hasHigherPopulationDensityThan
Indicates that the first entity has a greater number of inhabitants per unit area than the second entity.
-
D.
hasHighHumanDevelopment
Indicates that an entity (typically a country or region) possesses a high level of human development according to measures such as health, education, and standard of living.
-
E.
hasPopulationOver
Indicates that one entity has a population greater than a specified number or than another entity.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6b9a84ff88190ab5a71f7ef1e0dac |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b8fe147881908ba17483c7b13f05 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 21, 2026, 10:04 p.m.