Triple
T37404541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheikh Jarrah |
E929086
|
entity |
| Predicate | hasDemographicChange |
P3838
|
FINISHED |
| Object | increasing presence of Israeli settlers in some properties |
—
|
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: increasing presence of Israeli settlers in some properties | Statement: [Sheikh Jarrah, hasDemographicChange, increasing presence of Israeli settlers in some properties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDemographicChange Context triple: [Sheikh Jarrah, hasDemographicChange, increasing presence of Israeli settlers in some properties]
-
A.
hasDemographic
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
B.
demographicImpact
chosen
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
C.
hasDemographicProcess
Indicates a relationship where a population or group undergoes a specific demographic process, such as birth, death, migration, or aging.
-
D.
hasDemographicUnit
Indicates that an entity is associated with or contains a specific demographic unit (such as a population group or segment).
-
E.
hasDemographicPattern
Indicates that there is a characteristic distribution or trend of attributes (such as age, gender, income, or ethnicity) within a population or group.
- 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_69f76ebbf79c8190b85bbcf3a6be57e4 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff97637ad881908c24fe2cc6b036db |
completed | May 9, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69ff96c43a808190942eeda1934602db |
completed | May 9, 2026, 8:19 p.m. |
Created at: May 3, 2026, 4:16 p.m.