Triple
T2595692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lea County |
E58223
|
entity |
| Predicate | containsCommunity |
P8617
|
FINISHED |
| Object |
Humphreys
Humphreys is a small unincorporated community located within Lea County in southeastern New Mexico.
|
E281788
|
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: Humphreys | Statement: [Lea County, containsCommunity, Humphreys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Humphreys Context triple: [Lea County, containsCommunity, Humphreys]
-
A.
Everard
Everard is a masculine given name of Old English origin, historically meaning “brave boar” or “strong as a wild boar.”
-
B.
Hopkin
Hopkin is a surname and given name of English and Welsh origin, often considered a variant of Hopkins.
-
C.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
D.
Briggs
Briggs is a surname most prominently associated with Lance Briggs, a former NFL linebacker best known for his career with the Chicago Bears.
-
E.
Bonnell
Bonnell is the microarchitecture that underpinned Intel's first-generation Atom processors, designed for low-power, energy-efficient computing in mobile and embedded devices.
- 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: Humphreys Triple: [Lea County, containsCommunity, Humphreys]
Generated description
Humphreys is a small unincorporated community located within Lea County in southeastern New Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Humphreys Target entity description: Humphreys is a small unincorporated community located within Lea County in southeastern New Mexico.
-
A.
Everard
Everard is a masculine given name of Old English origin, historically meaning “brave boar” or “strong as a wild boar.”
-
B.
Hopkin
Hopkin is a surname and given name of English and Welsh origin, often considered a variant of Hopkins.
-
C.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
D.
Briggs
Briggs is a surname most prominently associated with Lance Briggs, a former NFL linebacker best known for his career with the Chicago Bears.
-
E.
Bonnell
Bonnell is the microarchitecture that underpinned Intel's first-generation Atom processors, designed for low-power, energy-efficient computing in mobile and embedded devices.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42978f881909f217e7ec9ac3144 |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83c798088190944e7d754aa9aa06 |
completed | March 10, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69af84a08ffc8190b113d07f3d322d0c |
completed | March 10, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af85a052448190898ee1a2f8368122 |
completed | March 10, 2026, 2:44 a.m. |
Created at: March 6, 2026, 9:49 p.m.