Triple
T14240572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union County, New Mexico |
E352991
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Union
Union is the name honoring the United States Union, commonly used for places and institutions commemorating the federal unity preserved during the American Civil War.
|
E22849
|
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: Union | Statement: [Union County, New Mexico, namedAfter, Union]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union Context triple: [Union County, New Mexico, namedAfter, Union]
-
A.
Union
The Union was the federal government and Northern states of the United States that opposed the seceding Confederate states during the American Civil War.
-
B.
Union
Union is the commonly used short name for the Major League Soccer club Philadelphia Union.
-
C.
Union
Union is a town in Broome County, New York, that forms part of the Binghamton metropolitan area.
-
D.
Union
Union is a major transit hub in downtown Toronto that serves as the city's primary subway and railway station complex.
-
E.
Union
Union is a township in Union County, New Jersey, that serves as the home of Kean University and a suburban community near New York City.
- 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: Union Triple: [Union County, New Mexico, namedAfter, Union]
Generated description
Union is the name honoring the United States Union, commonly used for places and institutions commemorating the federal unity preserved during the American Civil War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Union Target entity description: Union is the name honoring the United States Union, commonly used for places and institutions commemorating the federal unity preserved during the American Civil War.
-
A.
Union
chosen
The Union was the federal government and Northern states of the United States that opposed the seceding Confederate states during the American Civil War.
-
B.
Union
Union was a small community in the Town of Neversink, New York, that was permanently abandoned and flooded during the creation of New York City’s upstate reservoir system.
-
C.
Union
Union is the commonly used short name for the Major League Soccer club Philadelphia Union.
-
D.
Union
The Union refers to the central (federal) government of India, which holds nationwide legislative and executive authority distinct from state governments.
-
E.
Union
Union is a town in Broome County, New York, that forms part of the Binghamton metropolitan area.
- F. None of above.
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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd282183308190b63172972773b3c2 |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd29fd7cdc8190bd210f3b27f935c0 |
completed | May 8, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2bc719ac8190b2b8726c70d811dd |
completed | May 8, 2026, 12:18 a.m. |
Created at: April 10, 2026, 1:08 a.m.