Triple
T24919390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorane, Pennsylvania |
E624077
|
entity |
| Predicate | populationCountedIn |
P158141
|
FINISHED |
| Object | United States Census |
—
|
NE NERFINISHED |
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: United States Census | Statement: [Lorane, Pennsylvania, populationCountedIn, United States Census]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationCountedIn Context triple: [Lorane, Pennsylvania, populationCountedIn, United States Census]
-
A.
populationCountedDescription
Indicates that a population has been enumerated or measured, with an accompanying description of how or under what conditions the counting was performed.
-
B.
populationCount
Indicates the total number of individuals in a specified group, area, or category.
-
C.
permanentPopulation
Indicates that an entity has a stable, long-term resident population rather than a temporary or transient presence.
-
D.
totalPopulation
Indicates the overall number of individuals in a defined group, area, or category, typically summing all constituent subpopulations.
-
E.
countryPopulationContext
Indicates the contextual population characteristics or statistics associated with a specific country.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 5:28 a.m.