Triple
T5221174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Census Bureau Pittsburgh metropolitan statistical area |
E117870
|
entity |
| Predicate | dataIncludes |
P1393
|
FINISHED |
| Object | 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: population counts | Statement: [United States Census Bureau Pittsburgh metropolitan statistical area, dataIncludes, population counts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataIncludes Context triple: [United States Census Bureau Pittsburgh metropolitan statistical area, dataIncludes, population counts]
-
A.
seriesIncludes
Indicates that a particular series contains or encompasses the referenced item as one of its constituent parts.
-
B.
textsIncludedIn
Indicates that certain texts are contained within, or form a subset of, a larger collection or body of texts.
-
C.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
D.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
E.
productIncludes
Indicates that a product contains, comprises, or is composed of the specified component, item, or feature.
- 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ab846548190bcd2c5cd238f6cd9 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77bd2a448190a9ae5afd2585a7b9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:48 p.m.