Triple
T21986390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houston, Texas, United States |
E542971
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
H-Town
H-Town is a popular nickname for the city of Houston, Texas, often used in reference to its culture, music, and sports communities.
|
E1511751
|
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: H-Town | Statement: [Houston, Texas, United States, nickname, H-Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H-Town Context triple: [Houston, Texas, United States, nickname, H-Town]
-
A.
H-Town
H-Town is a common nickname for the city of Huntington in the U.S. state of West Virginia.
-
B.
B-Town
B-Town is a common nickname for Bloomington, Indiana, a vibrant Midwestern college city best known as the home of Indiana University.
-
C.
Bothaville
Bothaville is a South African farming town in the Free State province, known as a major maize-producing center.
-
D.
Uptown Houston
Uptown Houston is a major mixed-use business and shopping district in Houston, Texas, known for its high-rise offices, upscale retail centered around The Galleria, and dense urban development.
-
E.
B-town
B-town is a colloquial nickname for the city of Bemidji in northern Minnesota, known for its lakes, outdoor recreation, and status as a regional center.
- 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: H-Town Triple: [Houston, Texas, United States, nickname, H-Town]
Generated description
H-Town is a popular nickname for the city of Houston, Texas, often used in reference to its culture, music, and sports communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: H-Town Target entity description: H-Town is a popular nickname for the city of Houston, Texas, often used in reference to its culture, music, and sports communities.
-
A.
H-Town
H-Town is a common nickname for the city of Huntington in the U.S. state of West Virginia.
-
B.
B-Town
B-Town is a common nickname for Bloomington, Indiana, a vibrant Midwestern college city best known as the home of Indiana University.
-
C.
Bothaville
Bothaville is a South African farming town in the Free State province, known as a major maize-producing center.
-
D.
Uptown Houston
Uptown Houston is a major mixed-use business and shopping district in Houston, Texas, known for its high-rise offices, upscale retail centered around The Galleria, and dense urban development.
-
E.
B-town
B-town is a colloquial nickname for the city of Bemidji in northern Minnesota, known for its lakes, outdoor recreation, and status as a regional center.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12709cb288190a2620e337fea364c |
completed | April 28, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d7d735081909b86cafe3bc85186 |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6e3690e88190a8cabaa29a84799e |
completed | May 18, 2026, 1:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6ea775988190865a406893a467cc |
completed | May 18, 2026, 1:43 a.m. |
Created at: April 16, 2026, 8:04 p.m.