Triple
T16013458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hudspeth County |
E388399
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object |
Sierra Blanca
Sierra Blanca is a small unincorporated community in far West Texas that serves as the administrative and commercial hub of Hudspeth County.
|
E1190810
|
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: Sierra Blanca | Statement: [Hudspeth County, countySeat, Sierra Blanca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sierra Blanca Context triple: [Hudspeth County, countySeat, Sierra Blanca]
-
A.
Sierra Blanca
Sierra Blanca is a mountain range in southern Spain that forms part of the coastal mountains near Marbella in Andalusia.
-
B.
Corsicana
Corsicana is a small city in north-central Texas known for its oil boom history and as a regional commercial and transportation hub between Dallas and Houston.
-
C.
Ciudad Bandera
Ciudad Bandera is the nickname of Cárdenas, a Cuban city known for its historical role in early Cuban independence symbolism and patriotic movements.
-
D.
Tehuacana, Texas
Tehuacana, Texas is a small rural town in Limestone County known for its historic roots and quiet, close-knit community.
-
E.
Álamos
Álamos is a residential neighborhood in Mexico City’s Benito Juárez borough, known for its central location and urban character.
- 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: Sierra Blanca Triple: [Hudspeth County, countySeat, Sierra Blanca]
Generated description
Sierra Blanca is a small unincorporated community in far West Texas that serves as the administrative and commercial hub of Hudspeth County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sierra Blanca Target entity description: Sierra Blanca is a small unincorporated community in far West Texas that serves as the administrative and commercial hub of Hudspeth County.
-
A.
Sierra Blanca
Sierra Blanca is a mountain range in southern Spain that forms part of the coastal mountains near Marbella in Andalusia.
-
B.
Corsicana
Corsicana is a small city in north-central Texas known for its oil boom history and as a regional commercial and transportation hub between Dallas and Houston.
-
C.
Ciudad Bandera
Ciudad Bandera is the nickname of Cárdenas, a Cuban city known for its historical role in early Cuban independence symbolism and patriotic movements.
-
D.
Tehuacana, Texas
Tehuacana, Texas is a small rural town in Limestone County known for its historic roots and quiet, close-knit community.
-
E.
Álamos
Álamos is a residential neighborhood in Mexico City’s Benito Juárez borough, known for its central location and urban character.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18292b79881908efac869603c4029 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbcc12dc8190a80d776b63a6ad35 |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdc915be88190a0e949fcee608242 |
completed | May 10, 2026, 1:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdd17239c8190a3c0c4d146a279f7 |
completed | May 10, 2026, 1:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.