Triple
T14992638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Census Bureau places in California |
E373874
|
entity |
| Predicate | hasDataAtLevel |
P116265
|
FINISHED |
| Object | place-level population counts |
—
|
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: place-level population counts | Statement: [United States Census Bureau places in California, hasDataAtLevel, place-level population counts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDataAtLevel Context triple: [United States Census Bureau places in California, hasDataAtLevel, place-level population counts]
-
A.
hasLevel
Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
-
B.
hasNumberOfLevels
Indicates that an entity possesses a specified count of distinct levels or tiers.
-
C.
hasLevelNumber
Indicates that an entity is associated with a specific level identified by a numerical value.
-
D.
hasLocalLevel
Indicates that one entity possesses, is associated with, or is defined at a specific local administrative or organizational level relative to another entity.
-
E.
hasBaseIndexLevel
Indicates that something is associated with or defined at a fundamental or initial index level within a hierarchical or indexed structure.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded715db408190b44e8a8452c79764 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:53 a.m.