Triple
T8964444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trinity County, Texas |
E214091
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object |
Trinity, Texas
Trinity, Texas is a small East Texas city that serves as the largest population center and a local hub for Trinity County.
|
E775941
|
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: Trinity, Texas | Statement: [Trinity County, Texas, largestCity, Trinity, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trinity, Texas Context triple: [Trinity County, Texas, largestCity, Trinity, Texas]
-
A.
Trinidad, Texas
Trinidad, Texas is a small rural city in East Texas known for its location near the Trinity River and Cedar Creek Reservoir.
-
B.
Trenton, Texas
Trenton, Texas is a small rural city in North Texas known for its agricultural community and location within Fannin County.
-
C.
Troup, Texas
Troup, Texas is a small city in East Texas that functions as part of the broader Tyler metropolitan area.
-
D.
Terrell, Texas
Terrell, Texas is a small city in North Texas known for its historic downtown, proximity to Dallas, and role as a regional commercial and educational hub.
-
E.
Taylor, Texas
Taylor, Texas is a small city in central Texas known for its historic downtown, agricultural roots, and location within the Greater Austin metropolitan area.
- 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: Trinity, Texas Triple: [Trinity County, Texas, largestCity, Trinity, Texas]
Generated description
Trinity, Texas is a small East Texas city that serves as the largest population center and a local hub for Trinity County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trinity, Texas Target entity description: Trinity, Texas is a small East Texas city that serves as the largest population center and a local hub for Trinity County.
-
A.
Trinidad, Texas
Trinidad, Texas is a small rural city in East Texas known for its location near the Trinity River and Cedar Creek Reservoir.
-
B.
Trenton, Texas
Trenton, Texas is a small rural city in North Texas known for its agricultural community and location within Fannin County.
-
C.
Troup, Texas
Troup, Texas is a small city in East Texas that functions as part of the broader Tyler metropolitan area.
-
D.
Terrell, Texas
Terrell, Texas is a small city in North Texas known for its historic downtown, proximity to Dallas, and role as a regional commercial and educational hub.
-
E.
Taylor, Texas
Taylor, Texas is a small city in central Texas known for its historic downtown, agricultural roots, and location within the Greater Austin metropolitan area.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc674c4be8819090d46aba8ab40af3 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffd8b42408190be3e044b2a596a8b |
completed | April 3, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_69d000d2c5688190b014ce33c04ff875 |
completed | April 3, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d001a1056c819083793547dbd4b1ee |
completed | April 3, 2026, 6:06 p.m. |
Created at: March 30, 2026, 7:01 p.m.