Triple
T455822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oklahoma |
E7229
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Broken Arrow
Broken Arrow is a rapidly growing suburban city in northeastern Oklahoma, known for its family-friendly communities and proximity to Tulsa.
|
E57058
|
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: Broken Arrow | Statement: [Oklahoma, containsCity, Broken Arrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broken Arrow Context triple: [Oklahoma, containsCity, Broken Arrow]
-
A.
The Lone Star
The Lone Star is a popular nickname for the national flag of Chile, highlighting its single prominent white star on a blue field.
-
B.
Las Vegas of the East
Las Vegas of the East is a popular nickname for Macau, highlighting its status as a major Asian hub for casinos, nightlife, and entertainment.
-
C.
Mustangs
Mustangs is the nickname for the athletic teams representing Southern Methodist University in collegiate sports.
-
D.
Paradise
"Paradise" is a 1997 novel by Nobel Prize–winning author Toni Morrison that explores race, gender, community, and violence in an all-Black town in Oklahoma.
-
E.
Rio Bravo
"Rio Bravo" is a classic 1959 American Western film directed by Howard Hawks, starring John Wayne, Dean Martin, and Ricky Nelson as a young gunslinger.
- 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: Broken Arrow Triple: [Oklahoma, containsCity, Broken Arrow]
Generated description
Broken Arrow is a rapidly growing suburban city in northeastern Oklahoma, known for its family-friendly communities and proximity to Tulsa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Broken Arrow Target entity description: Broken Arrow is a rapidly growing suburban city in northeastern Oklahoma, known for its family-friendly communities and proximity to Tulsa.
-
A.
The Lone Star
The Lone Star is a popular nickname for the national flag of Chile, highlighting its single prominent white star on a blue field.
-
B.
Las Vegas of the East
Las Vegas of the East is a popular nickname for Macau, highlighting its status as a major Asian hub for casinos, nightlife, and entertainment.
-
C.
Mustangs
Mustangs is the nickname for the athletic teams representing Southern Methodist University in collegiate sports.
-
D.
Paradise
"Paradise" is a 1997 novel by Nobel Prize–winning author Toni Morrison that explores race, gender, community, and violence in an all-Black town in Oklahoma.
-
E.
Rio Bravo
"Rio Bravo" is a classic 1959 American Western film directed by Howard Hawks, starring John Wayne, Dean Martin, and Ricky Nelson as a young gunslinger.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef9f772c8190863399c5ee1378fe |
completed | Feb. 28, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a44cbdb58481908416ae6b4773e1a7 |
completed | March 1, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69a44d3af80081908fe11a4f873ee7a9 |
completed | March 1, 2026, 2:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a44da8ae788190b8e1694f534043d4 |
completed | March 1, 2026, 2:31 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.