Triple
T18981058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Kirby |
E464422
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object |
City of Kirby, Texas
City of Kirby, Texas is a small suburban municipality located in Bexar County near San Antonio.
|
E1351952
|
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: City of Kirby, Texas | Statement: [City of Kirby, hasOfficialName, City of Kirby, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Kirby, Texas Context triple: [City of Kirby, hasOfficialName, City of Kirby, Texas]
-
A.
Kirbyville, Texas
Kirbyville, Texas is a small city in Southeast Texas known for its rural character and location within the heavily forested Piney Woods region.
-
B.
Karnes City, Texas
Karnes City, Texas is a small South Texas city in Karnes County known historically for ranching and oil and gas activity.
-
C.
Kress, Texas
Kress, Texas is a small rural city in the Texas Panhandle known for its agricultural community and location along U.S. Route 87.
-
D.
Bridge City, Texas
Bridge City, Texas is a small city in Orange County in Southeast Texas, known for its location near the Louisiana border and vulnerability to Gulf Coast hurricanes and flooding.
-
E.
Kermit, Texas
Kermit, Texas is a small West Texas city known for its oil industry roots and role as the principal community in Winkler County.
- 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: City of Kirby, Texas Triple: [City of Kirby, hasOfficialName, City of Kirby, Texas]
Generated description
City of Kirby, Texas is a small suburban municipality located in Bexar County near San Antonio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: City of Kirby, Texas Target entity description: City of Kirby, Texas is a small suburban municipality located in Bexar County near San Antonio.
-
A.
Kirbyville, Texas
Kirbyville, Texas is a small city in Southeast Texas known for its rural character and location within the heavily forested Piney Woods region.
-
B.
Karnes City, Texas
Karnes City, Texas is a small South Texas city in Karnes County known historically for ranching and oil and gas activity.
-
C.
Kress, Texas
Kress, Texas is a small rural city in the Texas Panhandle known for its agricultural community and location along U.S. Route 87.
-
D.
Bridge City, Texas
Bridge City, Texas is a small city in Orange County in Southeast Texas, known for its location near the Louisiana border and vulnerability to Gulf Coast hurricanes and flooding.
-
E.
Kermit, Texas
Kermit, Texas is a small West Texas city known for its oil industry roots and role as the principal community in Winkler County.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65c11808190810c79c91799dec0 |
completed | April 20, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05ad41b9188190a947489a40df02c9 |
completed | May 14, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_6a05ae57ce7881909d15b7ac451b98a9 |
completed | May 14, 2026, 11:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05af24cb288190913827bf30a9a010 |
completed | May 14, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:01 p.m.