Triple
T15940125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Childress County |
E386535
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Childress |
E1185497
|
NE FINISHED |
How this triple was built (2 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: Childress | Statement: [Childress County, hasCapital, Childress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Childress Context triple: [Childress County, hasCapital, Childress]
-
A.
Childress
chosen
Childress is a small city in the Texas Panhandle that serves as the administrative and commercial hub of Childress County.
-
B.
Traylor
Traylor is the distinctive given name of American actress Traylor Howard, known for her roles in television series such as "Monk" and "Two Guys and a Girl."
-
C.
Charlotte Belt
The Charlotte Belt is a geologic terrane in the southeastern United States characterized by metamorphic and igneous rocks that help define the region’s complex tectonic history.
-
D.
Tizzy Weathers
Tizzy Weathers is a supporting character in the film "The Curious Case of Benjamin Button," known primarily as the husband of Queenie and a paternal figure in Benjamin’s early life.
-
E.
Tharpe
Tharpe is a surname, often a variant of "Tharp," associated with several notable individuals in fields such as music and sports.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156cd3a188190a1a7dcbfdd38284c |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3bfe72c819095f40a255bcd7ad5 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.