Triple
T11000293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbus laboratory |
E259985
|
entity |
| Predicate | hasExternalPayloadFacility |
P83815
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Columbus laboratory, hasExternalPayloadFacility, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExternalPayloadFacility Context triple: [Columbus laboratory, hasExternalPayloadFacility, yes]
-
A.
hasPayload
Indicates that one entity carries, contains, or is equipped with another entity as its payload.
-
B.
hasExternalAntenna
chosen
Indicates that an entity is equipped with or connected to an antenna located outside its main body or enclosure.
-
C.
usesPayload
Indicates that one entity employs or utilizes another entity as its payload in performing an action or function.
-
D.
hasPayloadStructure
Indicates that an entity is associated with, or characterized by, a specific structure or organization of its payload.
-
E.
hasCargoHandlingMode
Indicates the method or procedure by which cargo is handled, loaded, or unloaded in a given context.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d5457c819096630246fa5f7076 |
completed | April 9, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.