Triple
T16153379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donley County |
E391970
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object |
Lark
Lark is a small unincorporated community located in rural Donley County, Texas.
|
E1197814
|
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: Lark | Statement: [Donley County, hasCommunity, Lark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lark Context triple: [Donley County, hasCommunity, Lark]
-
A.
Lark
Lark is a cloud-based workplace collaboration and productivity platform offering integrated messaging, video conferencing, calendars, and document tools, developed under ByteDance.
-
B.
Lark
Lark was a famous overnight passenger train that ran between San Francisco and Los Angeles, known for its streamlined design and sleeper service.
-
C.
Lark
Lark is a brand of cigarettes historically marketed by Liggett & Myers and known for its distinctive charcoal filter.
-
D.
Lark Short
Lark Short is a recurring child character on the American sitcom "Life in Pieces," appearing as a member of the Short family.
-
E.
Skylark
"Skylark" is a popular American jazz and pop standard from the early 1940s, known for its wistful melody and evocative, poetic lyrics.
- 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: Lark Triple: [Donley County, hasCommunity, Lark]
Generated description
Lark is a small unincorporated community located in rural Donley County, Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lark Target entity description: Lark is a small unincorporated community located in rural Donley County, Texas.
-
A.
Lark
Lark was a famous overnight passenger train that ran between San Francisco and Los Angeles, known for its streamlined design and sleeper service.
-
B.
Lark
Lark is a brand of cigarettes historically marketed by Liggett & Myers and known for its distinctive charcoal filter.
-
C.
Lark
Lark is a cloud-based workplace collaboration and productivity platform offering integrated messaging, video conferencing, calendars, and document tools, developed under ByteDance.
-
D.
Lark Short
Lark Short is a recurring child character on the American sitcom "Life in Pieces," appearing as a member of the Short family.
-
E.
Skylark
"Skylark" is a popular American jazz and pop standard from the early 1940s, known for its wistful melody and evocative, poetic lyrics.
- 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_69e21e57e95c8190ae4ed641be974ce5 |
completed | April 17, 2026, 11:49 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.