Triple
T1197543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Space Network |
E25702
|
entity |
| Predicate | hasAntennaType |
P13776
|
FINISHED |
| Object | 70-meter dish antenna |
—
|
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: 70-meter dish antenna | Statement: [Deep Space Network, hasAntennaType, 70-meter dish antenna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAntennaType Context triple: [Deep Space Network, hasAntennaType, 70-meter dish antenna]
-
A.
antennaType
chosen
Indicates the specific kind or category of antenna associated with an entity or connection.
-
B.
hasAntennaSpire
Indicates that one entity (typically a structure or building) is equipped with or features an antenna spire.
-
C.
hasAntennae
Indicates that one entity possesses or is equipped with antennae as a physical feature.
-
D.
hasArm
Indicates that one entity possesses or is equipped with an arm as a physical part or component of itself.
-
E.
isTypicallyWiredUsing
Indicates that one thing is commonly connected or implemented using a particular type of wiring or cabling.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9a305c819091513394f1b67784 |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5d40a08190b7682d8ef8075421 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.