Triple
T11945737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hattiesburg–Laurel Regional Airport |
E284292
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object |
City of Laurel
The City of Laurel is a municipal government in Mississippi known for overseeing local services and infrastructure, including the Hattiesburg–Laurel Regional Airport.
|
E955849
|
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 Laurel | Statement: [Hattiesburg–Laurel Regional Airport, owner, City of Laurel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Laurel Context triple: [Hattiesburg–Laurel Regional Airport, owner, City of Laurel]
-
A.
Azalea City
Azalea City is a nickname for Mobile, Alabama, highlighting the city's abundance of blooming azalea flowers and its reputation for vibrant Southern gardens.
-
B.
Lynnville
Lynnville is a small rural town located in central Iowa, United States.
-
C.
Pleasant Hill
Pleasant Hill is a suburban city in central Iowa located just east of Des Moines.
-
D.
Trinityville
Trinityville is a rural community located in the parish of St. Thomas in eastern Jamaica.
-
E.
City of Ellis
City of Ellis is a small municipal government in Kansas that oversees local services, facilities, and community amenities for the town of Ellis and its residents.
- 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 Laurel Triple: [Hattiesburg–Laurel Regional Airport, owner, City of Laurel]
Generated description
The City of Laurel is a municipal government in Mississippi known for overseeing local services and infrastructure, including the Hattiesburg–Laurel Regional Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: City of Laurel Target entity description: The City of Laurel is a municipal government in Mississippi known for overseeing local services and infrastructure, including the Hattiesburg–Laurel Regional Airport.
-
A.
Azalea City
Azalea City is a nickname for Mobile, Alabama, highlighting the city's abundance of blooming azalea flowers and its reputation for vibrant Southern gardens.
-
B.
Lynnville
Lynnville is a small rural town located in central Iowa, United States.
-
C.
Pleasant Hill
Pleasant Hill is a suburban city in central Iowa located just east of Des Moines.
-
D.
Trinityville
Trinityville is a rural community located in the parish of St. Thomas in eastern Jamaica.
-
E.
City of Ellis
City of Ellis is a small municipal government in Kansas that oversees local services, facilities, and community amenities for the town of Ellis and its residents.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903456ec0819082b8b10755a6b732 |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f458cbb08881909a71f0592c9231ae |
completed | May 1, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_69f4645a7038819089d7533715f8a430 |
completed | May 1, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4664ff9608190b23e29b3e5c1c326 |
completed | May 1, 2026, 8:37 a.m. |
Created at: April 8, 2026, 9:45 p.m.