Triple
T1607354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 285 |
E34535
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
The Perimeter
The Perimeter is the beltway encircling Atlanta, Georgia, serving as a major loop for regional and commuter traffic.
|
E182010
|
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: The Perimeter | Statement: [Interstate 285, alsoKnownAs, The Perimeter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Perimeter Context triple: [Interstate 285, alsoKnownAs, The Perimeter]
-
A.
Crossgates
Crossgates is a small village in Fife, Scotland, situated near the town of Dalgety Bay.
-
B.
The Zone
The Zone was the lively amusement and entertainment district of the Panama–Pacific International Exposition, featuring rides, shows, and attractions for fairgoers.
-
C.
Outer Ward
The Outer Ward is the defensive outer enclosure of the Tower of London, consisting of walls, towers, and fortifications that formed the first line of the castle’s protection.
-
D.
The Square Peg
The Square Peg is a 1958 British comedy film starring Norman Wisdom as a road repairman who is mistaken for a top German general during World War II.
-
E.
The Pit
The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
- 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: The Perimeter Triple: [Interstate 285, alsoKnownAs, The Perimeter]
Generated description
The Perimeter is the beltway encircling Atlanta, Georgia, serving as a major loop for regional and commuter traffic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Perimeter Target entity description: The Perimeter is the beltway encircling Atlanta, Georgia, serving as a major loop for regional and commuter traffic.
-
A.
Crossgates
Crossgates is a small village in Fife, Scotland, situated near the town of Dalgety Bay.
-
B.
The Zone
The Zone was the lively amusement and entertainment district of the Panama–Pacific International Exposition, featuring rides, shows, and attractions for fairgoers.
-
C.
Outer Ward
The Outer Ward is the defensive outer enclosure of the Tower of London, consisting of walls, towers, and fortifications that formed the first line of the castle’s protection.
-
D.
The Square Peg
The Square Peg is a 1958 British comedy film starring Norman Wisdom as a road repairman who is mistaken for a top German general during World War II.
-
E.
The Pit
The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9096cd0b88190bac21b46c3ed453f |
completed | March 5, 2026, 4:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51bff1cc819082208a8a77fae631 |
completed | March 8, 2026, 10:38 a.m. |
| NEDg | Description generation | batch_69ad522beb488190b5157db37eb0da8e |
completed | March 8, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad529de3dc819081c8ad3d7aa8bef8 |
completed | March 8, 2026, 10:42 a.m. |
Created at: March 4, 2026, 7:28 p.m.