Triple
T4659101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M151 MUTT |
E102482
|
entity |
| Predicate | canBeAirDropped |
P58255
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [M151 MUTT, canBeAirDropped, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeAirDropped Context triple: [M151 MUTT, canBeAirDropped, true]
-
A.
hasNotableAirplay
Indicates that something (typically a song, program, or audio content) has received a significant amount of broadcast play on radio or similar media.
-
B.
supportsAirPlay
Indicates that one entity is capable of sending or receiving media via Apple’s AirPlay streaming protocol in relation to another entity.
-
C.
canBeShared
Indicates that something is capable of being distributed or accessed by multiple parties.
-
D.
platformType_AirportExpress
Indicates that the platform is designated for use by an Airport Express service or train.
-
E.
compatibleSign
Indicates that two entities are considered astrologically harmonious or well-matched based on their zodiac signs.
- F. None of above. chosen
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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63271a548190bd9662b69a45d9a5 |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:15 p.m.