Triple
T11080697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ward County |
E261982
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Barstow
Barstow is a small town in Ward County, Texas, known for its rural character and historical roots in West Texas.
|
E905104
|
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: Barstow | Statement: [Ward County, containsSettlement, Barstow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barstow Context triple: [Ward County, containsSettlement, Barstow]
-
A.
Barstow
Barstow is a small city in Southern California known as a major transportation hub and gateway between Los Angeles, Las Vegas, and the Mojave Desert.
-
B.
Cathedral City
Cathedral City is a desert community in Southern California known as a residential and resort city within the Greater Palm Springs area.
-
C.
Artesia
Artesia is a small suburban city in southeast Los Angeles County, California, known for its diverse community and the Little India commercial district along Pioneer Boulevard.
-
D.
Artesia
Artesia is a small city in southeastern New Mexico known for its oil and gas industry and agricultural roots.
-
E.
Bakersfield
Bakersfield is a large city in California known for its role as an agricultural and oil-production hub and as the birthplace of the Bakersfield sound in country music.
- 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: Barstow Triple: [Ward County, containsSettlement, Barstow]
Generated description
Barstow is a small town in Ward County, Texas, known for its rural character and historical roots in West Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barstow Target entity description: Barstow is a small town in Ward County, Texas, known for its rural character and historical roots in West Texas.
-
A.
Barstow
Barstow is a small city in Southern California known as a major transportation hub and gateway between Los Angeles, Las Vegas, and the Mojave Desert.
-
B.
Cathedral City
Cathedral City is a desert community in Southern California known as a residential and resort city within the Greater Palm Springs area.
-
C.
Artesia
Artesia is a small city in southeastern New Mexico known for its oil and gas industry and agricultural roots.
-
D.
Artesia
Artesia is a small suburban city in southeast Los Angeles County, California, known for its diverse community and the Little India commercial district along Pioneer Boulevard.
-
E.
Bakersfield
Bakersfield is a large city in California known for its role as an agricultural and oil-production hub and as the birthplace of the Bakersfield sound in country music.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79996d9408190b159d14b23c25ed1 |
completed | April 9, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d641c288190b3fed49022f5552d |
completed | April 19, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69e42e67724481908bd9e73487a80d44 |
completed | April 19, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4308103c48190b32ee3047d9a0860 |
completed | April 19, 2026, 1:31 a.m. |
Created at: April 8, 2026, 9:27 p.m.