Triple
T16153364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donley County |
E391970
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object |
Clarendon
Clarendon is a small city in the Texas Panhandle known as a regional hub for ranching and agriculture.
|
E1197809
|
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: Clarendon | Statement: [Donley County, seat, Clarendon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarendon Context triple: [Donley County, seat, Clarendon]
-
A.
Clarendon
Clarendon is a historic royal manor in Wiltshire, England, known for its medieval palace where several important legal and political reforms were issued.
-
B.
Clarendon
Clarendon is a vibrant urban neighborhood in Arlington, Virginia, known for its lively dining, shopping, and nightlife scene.
-
C.
Clarendon
Clarendon is a small town in Rutland County, Vermont, known for its rural character and scenic Green Mountain landscapes.
-
D.
Clarendon
Clarendon is a historic rural township in South Australia known for its vineyards, heritage buildings, and scenic location along the Onkaparinga River.
-
E.
Hertford House
Hertford House is a historic London townhouse best known as the home of the Wallace Collection, a major museum of fine and decorative arts.
- 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: Clarendon Triple: [Donley County, seat, Clarendon]
Generated description
Clarendon is a small city in the Texas Panhandle known as a regional hub for ranching and agriculture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clarendon Target entity description: Clarendon is a small city in the Texas Panhandle known as a regional hub for ranching and agriculture.
-
A.
Clarendon
Clarendon is a vibrant urban neighborhood in Arlington, Virginia, known for its lively dining, shopping, and nightlife scene.
-
B.
Clarendon
Clarendon is a historic royal manor in Wiltshire, England, known for its medieval palace where several important legal and political reforms were issued.
-
C.
Clarendon
Clarendon is a small town in Rutland County, Vermont, known for its rural character and scenic Green Mountain landscapes.
-
D.
Clarendon
Clarendon is a historic rural township in South Australia known for its vineyards, heritage buildings, and scenic location along the Onkaparinga River.
-
E.
Hertford House
Hertford House is a historic London townhouse best known as the home of the Wallace Collection, a major museum of fine and decorative arts.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d98d08c8190a15d4aee40d47220 |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7ac6d1c8190a8553ceb5ec06119 |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff90570f0819087c96f33f8f45428 |
completed | May 10, 2026, 3:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff99aadf081908050c2941c1e5f96 |
completed | May 10, 2026, 3:20 a.m. |
Created at: April 10, 2026, 5:01 a.m.