Triple
T5898529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazos Valley |
E131161
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Franklin, Texas
Franklin, Texas is a small city in Robertson County that serves as the county seat and is part of the Brazos Valley region.
|
E646325
|
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: Franklin, Texas | Statement: [Brazos Valley, hasCity, Franklin, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franklin, Texas Context triple: [Brazos Valley, hasCity, Franklin, Texas]
-
A.
Frankston, Texas
Frankston, Texas is a small rural town in East Texas known for its close-knit community and location near Lake Palestine.
-
B.
Navasota, Texas
Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
-
C.
Colfax, Texas
Colfax, Texas is a small unincorporated rural community located in Van Zandt County in East Texas.
-
D.
Whitehouse, Texas
Whitehouse, Texas is a small city in East Texas that functions primarily as a residential community within the greater Tyler metropolitan area.
-
E.
Roanoke, Texas
Roanoke, Texas is a small city in the Dallas–Fort Worth metropolitan area known for its historic downtown and designation as the “Unique Dining Capital of Texas.”
- 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: Franklin, Texas Triple: [Brazos Valley, hasCity, Franklin, Texas]
Generated description
Franklin, Texas is a small city in Robertson County that serves as the county seat and is part of the Brazos Valley region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Franklin, Texas Target entity description: Franklin, Texas is a small city in Robertson County that serves as the county seat and is part of the Brazos Valley region.
-
A.
Frankston, Texas
Frankston, Texas is a small rural town in East Texas known for its close-knit community and location near Lake Palestine.
-
B.
Navasota, Texas
Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
-
C.
Colfax, Texas
Colfax, Texas is a small unincorporated rural community located in Van Zandt County in East Texas.
-
D.
Whitehouse, Texas
Whitehouse, Texas is a small city in East Texas that functions primarily as a residential community within the greater Tyler metropolitan area.
-
E.
Roanoke, Texas
Roanoke, Texas is a small city in the Dallas–Fort Worth metropolitan area known for its historic downtown and designation as the “Unique Dining Capital of Texas.”
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f7b3f48190a499d43f8ffb2fa7 |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b89011a88190b498264ff99e7984 |
completed | March 28, 2026, 11:16 a.m. |
| NEDg | Description generation | batch_69c7b97893308190b349afb452d4e154 |
completed | March 28, 2026, 11:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7b9f805b88190866170fdd8ce07ff |
completed | March 28, 2026, 11:22 a.m. |
Created at: March 22, 2026, 3:58 p.m.