Triple
T11175212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midland County |
E264393
|
entity |
| Predicate | borderingCounty |
P6346
|
FINISHED |
| Object |
Glasscock County
Glasscock County is a sparsely populated rural county in West Texas known for its ranching and oil production.
|
E909914
|
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: Glasscock County | Statement: [Midland County, borderingCounty, Glasscock County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glasscock County Context triple: [Midland County, borderingCounty, Glasscock County]
-
A.
Van Zandt County
Van Zandt County is a rural county in northeastern Texas known for its agricultural heritage and small-town communities.
-
B.
Waller County
Waller County is a county in southeastern Texas that forms part of the greater Houston metropolitan region.
-
C.
Ochiltree County
Ochiltree County is a rural county in the northern Texas Panhandle known for its agriculture-based economy and small-town communities.
-
D.
Greenwood County
Greenwood County is a county in western South Carolina known for its mix of small-city life, manufacturing, and agricultural communities centered around the city of Greenwood.
-
E.
Kingfisher County
Kingfisher County is a rural county in central Oklahoma known for its agricultural economy and small-town communities.
- 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: Glasscock County Triple: [Midland County, borderingCounty, Glasscock County]
Generated description
Glasscock County is a sparsely populated rural county in West Texas known for its ranching and oil production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glasscock County Target entity description: Glasscock County is a sparsely populated rural county in West Texas known for its ranching and oil production.
-
A.
Van Zandt County
Van Zandt County is a rural county in northeastern Texas known for its agricultural heritage and small-town communities.
-
B.
Waller County
Waller County is a county in southeastern Texas that forms part of the greater Houston metropolitan region.
-
C.
Ochiltree County
Ochiltree County is a rural county in the northern Texas Panhandle known for its agriculture-based economy and small-town communities.
-
D.
Greenwood County
Greenwood County is a county in western South Carolina known for its mix of small-city life, manufacturing, and agricultural communities centered around the city of Greenwood.
-
E.
Kingfisher County
Kingfisher County is a rural county in central Oklahoma known for its agricultural economy and small-town communities.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e897774c819088ebc7231cebfba6 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483816af08190877f86ee52846581 |
completed | April 19, 2026, 7:25 a.m. |
| NEDg | Description generation | batch_69e48715bd2081908774d325db2b6dd5 |
completed | April 19, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4886c0da881909105b3a45e786ce9 |
completed | April 19, 2026, 7:46 a.m. |
Created at: April 8, 2026, 9:29 p.m.