Triple
T9167614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Route 537 |
E220000
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Eatontown
Eatontown is a borough in Monmouth County, New Jersey, known as a suburban community with commercial centers and major road connections.
|
E782355
|
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: Eatontown | Statement: [County Route 537, passesThrough, Eatontown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eatontown Context triple: [County Route 537, passesThrough, Eatontown]
-
A.
Howtown
Howtown is a small, picturesque hamlet in England’s Lake District, situated on the eastern shore of Ullswater and known as a starting point for lakeside walks and fell hikes.
-
B.
Englishtown
Englishtown is a historic district in Limerick, Ireland, known as one of the city’s oldest settled areas.
-
C.
Diggstown
Diggstown is a 1992 sports comedy-drama film centered on a high-stakes boxing con set in a small Southern town.
-
D.
Cresson
Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
-
E.
Farlington
Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
- 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: Eatontown Triple: [County Route 537, passesThrough, Eatontown]
Generated description
Eatontown is a borough in Monmouth County, New Jersey, known as a suburban community with commercial centers and major road connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eatontown Target entity description: Eatontown is a borough in Monmouth County, New Jersey, known as a suburban community with commercial centers and major road connections.
-
A.
Howtown
Howtown is a small, picturesque hamlet in England’s Lake District, situated on the eastern shore of Ullswater and known as a starting point for lakeside walks and fell hikes.
-
B.
Englishtown
Englishtown is a historic district in Limerick, Ireland, known as one of the city’s oldest settled areas.
-
C.
Diggstown
Diggstown is a 1992 sports comedy-drama film centered on a high-stakes boxing con set in a small Southern town.
-
D.
Cresson
Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
-
E.
Farlington
Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaadfb50881909b9127f92e4b3e21 |
completed | April 1, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05491ccec819093fcf2d764c5381b |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d05628d8708190a85437c5051a5a05 |
completed | April 4, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d056e4ad98819086e73edf15aa6210 |
completed | April 4, 2026, 12:10 a.m. |
Created at: March 30, 2026, 7:22 p.m.