Triple
T1571237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kennedy Space Center Shuttle Landing Facility |
E33543
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KTTS
KTTS is the ICAO airport code for the Shuttle Landing Facility at NASA’s Kennedy Space Center in Florida, a specialized runway used primarily for space shuttle and space-related aircraft operations.
|
E179235
|
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: KTTS | Statement: [Kennedy Space Center Shuttle Landing Facility, ICAOcode, KTTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KTTS Context triple: [Kennedy Space Center Shuttle Landing Facility, ICAOcode, KTTS]
-
A.
KT
KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
-
B.
Kt
Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
-
C.
KZT
KZT is the currency code for the Kazakhstani tenge, the official monetary unit of Kazakhstan.
-
D.
KONT
KONT is the ICAO airport code for Ontario International Airport, a major commercial airport serving the Inland Empire region of Southern California.
-
E.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
- 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: KTTS Triple: [Kennedy Space Center Shuttle Landing Facility, ICAOcode, KTTS]
Generated description
KTTS is the ICAO airport code for the Shuttle Landing Facility at NASA’s Kennedy Space Center in Florida, a specialized runway used primarily for space shuttle and space-related aircraft operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KTTS Target entity description: KTTS is the ICAO airport code for the Shuttle Landing Facility at NASA’s Kennedy Space Center in Florida, a specialized runway used primarily for space shuttle and space-related aircraft operations.
-
A.
KT
KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
-
B.
Kt
Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
-
C.
KZT
KZT is the currency code for the Kazakhstani tenge, the official monetary unit of Kazakhstan.
-
D.
KONT
KONT is the ICAO airport code for Ontario International Airport, a major commercial airport serving the Inland Empire region of Southern California.
-
E.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908b836dc8190bdf3d4eda7d00dd8 |
completed | March 5, 2026, 4:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad40263ef08190a968f6c822b5d483 |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad40cb84d081908c6e1651989de716 |
completed | March 8, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad41b1192c81909b89013d8296fd22 |
completed | March 8, 2026, 9:30 a.m. |
Created at: March 4, 2026, 7:27 p.m.