Triple
T35940571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Birwa |
E1039429
|
entity |
| Predicate | population1922 |
P194106
|
FINISHED |
| Object | 807 |
—
|
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: 807 | Statement: [al-Birwa, population1922, 807]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: population1922 Context triple: [al-Birwa, population1922, 807]
-
A.
population1945
Indicates the population size associated with an entity specifically for the year 1945.
-
B.
population_2002Census
Indicates the population count of an entity as recorded in the 2002 census.
-
C.
hasPopulationAsOf
Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
-
D.
preWorldWarIIPopulationEstimate
Indicates an estimated value for an entity’s population during the period before the start of World War II.
-
E.
preWarPopulation
Indicates the population size of an entity as it existed before a specified war or conflict.
- 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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
| PDg | Predicate description generation | batch_69fd5f2903a48190ac4b718bff99c6cf |
completed | May 8, 2026, 3:57 a.m. |
Created at: May 3, 2026, 4:07 p.m.