Triple
T2743059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakland (Pittsburgh) |
E60796
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Bloomfield (Pittsburgh)
Bloomfield is a Pittsburgh neighborhood known for its historic Italian-American community, dense row houses, and vibrant business district along Liberty Avenue.
|
E295332
|
NE FINISHED |
How this triple was built (4 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: Bloomfield (Pittsburgh) | Statement: [Oakland (Pittsburgh), adjacentTo, Bloomfield (Pittsburgh)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bloomfield (Pittsburgh) Context triple: [Oakland (Pittsburgh), adjacentTo, Bloomfield (Pittsburgh)]
-
A.
Bethel Park
Bethel Park is a suburban municipality in southwestern Pennsylvania, located just south of Pittsburgh.
-
B.
Aliquippa
Aliquippa is a small industrial city in western Pennsylvania known historically for its steel production and location along the Ohio River.
-
C.
Bloomfield
Bloomfield is a suburban town in Hartford County, Connecticut, located just northwest of the city of Hartford.
-
D.
Bloomfield
Bloomfield is a small city in southeastern Iowa that serves as the county seat of Davis County.
-
E.
McKeesport
McKeesport is a city in southwestern Pennsylvania located near the confluence of the Monongahela and Youghiogheny Rivers, historically known for its steel industry.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bloomfield (Pittsburgh) Triple: [Oakland (Pittsburgh), adjacentTo, Bloomfield (Pittsburgh)]
Generated description
Bloomfield is a Pittsburgh neighborhood known for its historic Italian-American community, dense row houses, and vibrant business district along Liberty Avenue.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bloomfield (Pittsburgh) Target entity description: Bloomfield is a Pittsburgh neighborhood known for its historic Italian-American community, dense row houses, and vibrant business district along Liberty Avenue.
-
A.
Bethel Park
Bethel Park is a suburban municipality in southwestern Pennsylvania, located just south of Pittsburgh.
-
B.
Aliquippa
Aliquippa is a small industrial city in western Pennsylvania known historically for its steel production and location along the Ohio River.
-
C.
Bloomfield
Bloomfield is a suburban town in Hartford County, Connecticut, located just northwest of the city of Hartford.
-
D.
Bloomfield
Bloomfield is a small city in southeastern Iowa that serves as the county seat of Davis County.
-
E.
McKeesport
McKeesport is a city in southwestern Pennsylvania located near the confluence of the Monongahela and Youghiogheny Rivers, historically known for its steel industry.
- F. None of above. chosen
Provenance (5 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb314410819095d4822f9277e6ff |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbcca19881908b2e2eb0478c3e45 |
completed | March 10, 2026, 6:35 a.m. |
| NEDg | Description generation | batch_69afbc758cc48190a96f80a850316ce3 |
completed | March 10, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd7be9088190a19bed27249e95c4 |
completed | March 10, 2026, 6:43 a.m. |
Created at: March 6, 2026, 9:56 p.m.