Triple
T18564082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emoticons block |
E453718
|
entity |
| Predicate | hasPlaneNumber |
P23693
|
FINISHED |
| Object | Plane 1 |
—
|
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: Plane 1 | Statement: [Emoticons block, hasPlaneNumber, Plane 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlaneNumber Context triple: [Emoticons block, hasPlaneNumber, Plane 1]
-
A.
planeNumber
chosen
Indicates that an entity is associated with a specific airplane identification number (such as a tail number or flight number).
-
B.
neighborPlaneNumber
Indicates that one plane’s identifying number is associated with an adjacent or neighboring plane in some defined spatial or structural arrangement.
-
C.
wingNumber
Indicates the specific identifier or count assigned to a wing associated with an entity.
-
D.
hasRunwayNumber
Indicates that an airport or airfield runway is assigned a specific identifying number.
-
E.
hasIATAFlightNumber
Indicates that an entity (typically a flight) is associated with a specific IATA-designated flight number.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53afc57448190abd90167d7e12a18 |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:42 a.m.