Triple
T16153433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jones County, Texas |
E391971
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Hamlin, Texas
Hamlin, Texas is a small rural city in West Texas known historically for its agriculture and railroad roots.
|
E1368491
|
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: Hamlin, Texas | Statement: [Jones County, Texas, containsSettlement, Hamlin, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamlin, Texas Context triple: [Jones County, Texas, containsSettlement, Hamlin, Texas]
-
A.
Hutto, Texas
Hutto, Texas is a rapidly growing small city in Central Texas known for its family-friendly community and distinctive hippo-themed local culture.
-
B.
Hemphill, Texas
Hemphill, Texas is a small East Texas city that serves as the administrative and commercial hub of Sabine County.
-
C.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
-
D.
Lockney, Texas
Lockney, Texas is a small rural town in the Texas Panhandle known for its agricultural economy and close-knit community.
-
E.
Whitehouse, Texas
Whitehouse, Texas is a small city in East Texas that functions primarily as a residential community within the greater Tyler 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: Hamlin, Texas Triple: [Jones County, Texas, containsSettlement, Hamlin, Texas]
Generated description
Hamlin, Texas is a small rural city in West Texas known historically for its agriculture and railroad roots.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hamlin, Texas Target entity description: Hamlin, Texas is a small rural city in West Texas known historically for its agriculture and railroad roots.
-
A.
Hutto, Texas
Hutto, Texas is a rapidly growing small city in Central Texas known for its family-friendly community and distinctive hippo-themed local culture.
-
B.
Hemphill, Texas
Hemphill, Texas is a small East Texas city that serves as the administrative and commercial hub of Sabine County.
-
C.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
-
D.
Lockney, Texas
Lockney, Texas is a small rural town in the Texas Panhandle known for its agricultural economy and close-knit community.
-
E.
Whitehouse, Texas
Whitehouse, Texas is a small city in East Texas that functions primarily as a residential community within the greater Tyler 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e57e95c8190ae4ed641be974ce5 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071433204c819086b3c7263352dc1b |
completed | May 15, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a0714c3099c81909b009fe952d0de81 |
completed | May 15, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07152aafb48190a767005628c6380a |
completed | May 15, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:01 a.m.