Triple
T22993748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orleans Parish Criminal District Court |
E572126
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
Section F
Section F is a specific criminal trial division within the Orleans Parish Criminal District Court in New Orleans, Louisiana.
|
E1565169
|
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: Section F | Statement: [Orleans Parish Criminal District Court, hasDivision, Section F]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Section F Context triple: [Orleans Parish Criminal District Court, hasDivision, Section F]
-
A.
F.2
The F.2 is a variant of the British Supermarine Swift jet fighter, distinguished by its early service in the Royal Air Force during the 1950s.
-
B.
F-3
F-3 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, known as the “Bonus-Built” trucks produced in the late 1940s and early 1950s.
-
C.
Series F
Series F is a set of ITU-T telecommunications standards focused on non-telephone telecommunication services such as telegraphy, telex, and related public messaging services.
-
D.
F.
F. is the standard legal citation abbreviation for the Federal Reporter series of case law published in the United States.
-
E.
F 7
F 7 is a wing of the Swedish Air Force known for operating and training on advanced combat aircraft.
- 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: Section F Triple: [Orleans Parish Criminal District Court, hasDivision, Section F]
Generated description
Section F is a specific criminal trial division within the Orleans Parish Criminal District Court in New Orleans, Louisiana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Section F Target entity description: Section F is a specific criminal trial division within the Orleans Parish Criminal District Court in New Orleans, Louisiana.
-
A.
F.2
The F.2 is a variant of the British Supermarine Swift jet fighter, distinguished by its early service in the Royal Air Force during the 1950s.
-
B.
F-3
F-3 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, known as the “Bonus-Built” trucks produced in the late 1940s and early 1950s.
-
C.
Series F
Series F is a set of ITU-T telecommunications standards focused on non-telephone telecommunication services such as telegraphy, telex, and related public messaging services.
-
D.
F.
F. is the standard legal citation abbreviation for the Federal Reporter series of case law published in the United States.
-
E.
F 7
F 7 is a wing of the Swedish Air Force known for operating and training on advanced combat aircraft.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f1940c8190a5645ee8d8e5e063 |
completed | April 29, 2026, 4:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bd37cd30c8190ae2fa99f18b59b94 |
completed | May 19, 2026, 3:05 a.m. |
| NEDg | Description generation | batch_6a0bd43af7948190886a30522f3b6c8a |
completed | May 19, 2026, 3:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bd503b1588190979b9895327a3475 |
completed | May 19, 2026, 3:12 a.m. |
Created at: April 17, 2026, 3:50 p.m.