Triple
T6706471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 17R/35L |
E153017
|
entity |
| Predicate | belongsToAirportWithIATA |
P45234
|
FINISHED |
| Object | MCO |
E148977
|
NE FINISHED |
How this triple was built (3 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: MCO | Statement: [Runway 17R/35L, belongsToAirportWithIATA, MCO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MCO Context triple: [Runway 17R/35L, belongsToAirportWithIATA, MCO]
-
A.
MCO
MCO is the National Rail station code used to identify Oxford Road railway station in Manchester, England.
-
B.
MCO
MCO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Principality of Monaco.
-
C.
MCO
chosen
MCO is the IATA airport code for Orlando International Airport, a major air travel hub serving the Orlando, Florida metropolitan area and its tourist attractions.
-
D.
MCO
MCO is the stock ticker symbol for Moody's Corporation, a leading global provider of credit ratings, research, and risk analysis.
-
E.
MCoE
MCoE is the U.S. Army’s primary training and doctrine center for maneuver forces, integrating infantry, armor, and related capabilities at Fort Moore, Georgia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToAirportWithIATA Context triple: [Runway 17R/35L, belongsToAirportWithIATA, MCO]
-
A.
belongsToAirport
Indicates that one entity is part of, associated with, or under the jurisdiction of a specific airport.
-
B.
belongsToAirportSystem
Indicates that an airport is a member or component of a specific airport system or network.
-
C.
associatedWithAirportName
Indicates a relationship where an entity is linked or connected to a specific airport by its name.
-
D.
associatedWithAirportCode
chosen
Indicates that one entity has a relationship or connection to an airport identified by a specific airport code.
-
E.
associatedAirport
Indicates a relationship where an entity is linked or connected to a specific airport, typically as its relevant or corresponding airport.
- F. None of above.
Provenance (4 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f7df860819099d50871dbe08ad9 |
completed | March 28, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:06 p.m.