Triple
T893485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas/Fort Worth International Airport |
E19290
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object |
13R/31L
13R/31L is a major runway at Dallas/Fort Worth International Airport used for handling high volumes of commercial air traffic.
|
E106026
|
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: 13R/31L | Statement: [Dallas/Fort Worth International Airport, hasRunway, 13R/31L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 13R/31L Context triple: [Dallas/Fort Worth International Airport, hasRunway, 13R/31L]
-
A.
R11
R11 is the internal station code used by the New York City Subway for the Grand Central–42nd Street complex in Midtown Manhattan.
-
B.
R-11
R-11 is a Soviet short-range tactical ballistic missile that formed the basis for the later Scud missile family.
-
C.
R-17
R-17 is the Soviet-designed short-range ballistic missile better known in the West by its NATO reporting name "Scud-B."
-
D.
BB-31
BB-31 was the original battleship designation for USS Utah, a Florida-class dreadnought that later served as a target and training ship for the U.S. Navy.
-
E.
Racha
Racha is a mountainous historical region in northwestern Georgia known for its scenic landscapes, traditional villages, and distinctive wines.
- 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: 13R/31L Triple: [Dallas/Fort Worth International Airport, hasRunway, 13R/31L]
Generated description
13R/31L is a major runway at Dallas/Fort Worth International Airport used for handling high volumes of commercial air traffic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 13R/31L Target entity description: 13R/31L is a major runway at Dallas/Fort Worth International Airport used for handling high volumes of commercial air traffic.
-
A.
R11
R11 is the internal station code used by the New York City Subway for the Grand Central–42nd Street complex in Midtown Manhattan.
-
B.
R-11
R-11 is a Soviet short-range tactical ballistic missile that formed the basis for the later Scud missile family.
-
C.
R-17
R-17 is the Soviet-designed short-range ballistic missile better known in the West by its NATO reporting name "Scud-B."
-
D.
BB-31
BB-31 was the original battleship designation for USS Utah, a Florida-class dreadnought that later served as a target and training ship for the U.S. Navy.
-
E.
Racha
Racha is a mountainous historical region in northwestern Georgia known for its scenic landscapes, traditional villages, and distinctive wines.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad212cd8819091eb1b7d606f5afd |
completed | March 1, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c025464081908032939637248635 |
completed | March 4, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_69a7c227893c8190a4ce35637365014f |
completed | March 4, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c2f1d0508190ad47eeb8099fd9f9 |
completed | March 4, 2026, 5:28 a.m. |
Created at: March 1, 2026, 7:39 p.m.