Triple
T5236010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry of Huntingdon |
E118222
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object |
Lincoln
Lincoln is a historic cathedral city in Lincolnshire, England, known for its medieval architecture and prominent role in the region’s religious and cultural life.
|
E116393
|
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: Lincoln | Statement: [Henry of Huntingdon, educatedAt, Lincoln]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lincoln Context triple: [Henry of Huntingdon, educatedAt, Lincoln]
-
A.
Lincoln
Lincoln is a suburban town in eastern Massachusetts known for its conservation land, historic sites, and commuter access to Boston.
-
B.
Lincoln
Lincoln is a luxury automobile marque of the Ford Motor Company known for its premium sedans and SUVs.
-
C.
Lincoln
Lincoln is a common English surname most famously associated with U.S. President Abraham Lincoln and his family.
-
D.
Lincoln
Lincoln is a suburban town in Providence County, Rhode Island, known for its historic mill villages, residential neighborhoods, and recreational areas such as Lincoln Woods State Park.
-
E.
Lincoln
Lincoln is a masculine given name of English origin most famously associated with U.S. President Abraham Lincoln.
- 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: Lincoln Triple: [Henry of Huntingdon, educatedAt, Lincoln]
Generated description
Lincoln is a historic cathedral city in Lincolnshire, England, known for its medieval architecture and prominent role in the region’s religious and cultural life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lincoln Target entity description: Lincoln is a historic cathedral city in Lincolnshire, England, known for its medieval architecture and prominent role in the region’s religious and cultural life.
-
A.
Lincoln
chosen
Lincoln is a historic cathedral city in the East Midlands of England, renowned for its medieval architecture, including Lincoln Cathedral and Lincoln Castle.
-
B.
Lincoln
Lincoln is a historic American city in Illinois best known as the namesake of President Abraham Lincoln and for its rich Civil War–era heritage.
-
C.
Lincoln
Lincoln is a suburban town in eastern Massachusetts known for its conservation land, historic sites, and commuter access to Boston.
-
D.
Lincoln
Lincoln is a suburban town in Providence County, Rhode Island, known for its historic mill villages, residential neighborhoods, and recreational areas such as Lincoln Woods State Park.
-
E.
Lincoln
Lincoln is a common English surname most famously associated with U.S. President Abraham Lincoln and his family.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b2595c88190b4ca0b99c2f31472 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe6323708190bfc95f01c65dc234 |
completed | March 21, 2026, 8:24 p.m. |
| NEDg | Description generation | batch_69beff668dbc8190bc71c8dae2b5ca72 |
completed | March 21, 2026, 8:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf00120fe88190817badb72977566e |
completed | March 21, 2026, 8:31 p.m. |
Created at: March 20, 2026, 1:49 p.m.