Triple
T16478106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Williamsburg, New Mexico |
E400239
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Williamsburg
Williamsburg is a small village in Sierra County, New Mexico, located near the Rio Grande and close to the city of Truth or Consequences.
|
E1217373
|
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: Williamsburg | Statement: [Williamsburg, New Mexico, hasName, Williamsburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Williamsburg Context triple: [Williamsburg, New Mexico, hasName, Williamsburg]
-
A.
Williamsburg
Williamsburg is a historic colonial city in Virginia renowned for its well-preserved 18th-century architecture and living-history museum, Colonial Williamsburg.
-
B.
Williamsburg
Williamsburg is a trendy Brooklyn neighborhood known for its vibrant arts scene, nightlife, and waterfront views of Manhattan.
-
C.
Williamsburg
Williamsburg is a small rural community located within Dundas County in eastern Ontario, Canada.
-
D.
Williamsburg
Williamsburg is a small town located in Fremont County, Colorado, known for its rural character and proximity to the Rocky Mountains.
-
E.
Charles City
Charles City is a small northeastern Iowa community known historically as a manufacturing and transportation hub along the Cedar River.
- 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: Williamsburg Triple: [Williamsburg, New Mexico, hasName, Williamsburg]
Generated description
Williamsburg is a small village in Sierra County, New Mexico, located near the Rio Grande and close to the city of Truth or Consequences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Williamsburg Target entity description: Williamsburg is a small village in Sierra County, New Mexico, located near the Rio Grande and close to the city of Truth or Consequences.
-
A.
Williamsburg
Williamsburg is a historic colonial city in Virginia renowned for its well-preserved 18th-century architecture and living-history museum, Colonial Williamsburg.
-
B.
Williamsburg
Williamsburg is a trendy Brooklyn neighborhood known for its vibrant arts scene, nightlife, and waterfront views of Manhattan.
-
C.
Williamsburg
Williamsburg is a small rural community located within Dundas County in eastern Ontario, Canada.
-
D.
Williamsburg
Williamsburg is a small town located in Fremont County, Colorado, known for its rural character and proximity to the Rocky Mountains.
-
E.
Charles City
Charles City is a small northeastern Iowa community known historically as a manufacturing and transportation hub along the Cedar River.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e0013ac8190b607d5f47d17c501 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00581ebe888190a331974473f1be1a |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0059473c088190a8c9fc757c0a3ef1 |
completed | May 10, 2026, 10:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a005a457868819096e21df6944de0ff |
completed | May 10, 2026, 10:13 a.m. |
Created at: April 10, 2026, 5:13 a.m.