Triple
T10999064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-I |
E259958
|
entity |
| Predicate | outerTankOrigin |
P96561
|
FINISHED |
| Object | Redstone rocket tanks |
—
|
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: Redstone rocket tanks | Statement: [S-I, outerTankOrigin, Redstone rocket tanks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outerTankOrigin Context triple: [S-I, outerTankOrigin, Redstone rocket tanks]
-
A.
usedExternalTank
Indicates that an entity made use of an external tank as part of its operation or activity.
-
B.
mainTankName
Indicates that the subject entity has the specified name as its primary or main tank designation.
-
C.
hasCentralTank
Indicates that an entity possesses or is equipped with a primary central tank as a key component or feature.
-
D.
primaryTankerModel
Indicates that one entity is the main or standard tanker model associated with another entity (such as a product line, fleet, or organization).
-
E.
mainTankCapacity
Indicates the maximum volume of fuel or liquid that the primary tank is designed to hold.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d3b08c81909376cd73c42fcefe |
completed | April 9, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:25 p.m.