Triple
T29817329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McDonnell Douglas MD-87 |
E757145
|
entity |
| Predicate | IATATypCode |
P83013
|
FINISHED |
| Object | M87 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: M87 | Statement: [McDonnell Douglas MD-87, IATATypCode, M87]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IATATypCode Context triple: [McDonnell Douglas MD-87, IATATypCode, M87]
-
A.
associatedWithIATATypeCode
chosen
Indicates that one entity is linked to or characterized by a specific IATA type code that classifies its role or function in air transport.
-
B.
ATUType
Indicates a classification relationship where an item is assigned a specific Aarne–Thompson–Uther (ATU) folktale type.
-
C.
labelCodeType
Indicates that one entity serves as the type or classification scheme for the labeling code applied to another entity.
-
D.
IATACategory
Indicates the classification of an entity according to its IATA-defined category or type.
-
E.
AIATSISCode
Indicates that an entity is associated with, identified by, or classified using an AIATSIS (Australian Institute of Aboriginal and Torres Strait Islander Studies) code.
- F. None of above.
Provenance (3 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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f675642e3c819098f45ff76b60355f |
completed | May 2, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:27 p.m.