Triple
T23477037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-75 |
E570291
|
entity |
| Predicate | tetherStatus |
P152524
|
FINISHED |
| Object | tether broke during deployment |
—
|
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: tether broke during deployment | Statement: [STS-75, tetherStatus, tether broke during deployment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tetherStatus Context triple: [STS-75, tetherStatus, tether broke during deployment]
-
A.
tetherExperiment
Indicates an experimental relationship in which one entity is physically or functionally tethered to another to constrain or control its movement or position.
-
B.
statusCurrency
Indicates that a particular status or state is expressed, measured, or denominated in a specific currency.
-
C.
statusInDenomination
Indicates the specific role, standing, or position an entity holds within a particular religious denomination or sect.
-
D.
legalTenderSupported
Indicates that a given currency or payment method is officially recognized and accepted as legal tender within a specified jurisdiction or context.
-
E.
bankStatus
Indicates the current operational or financial condition of a bank, such as whether it is active, suspended, solvent, or insolvent.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74dbea8819085ca84391039e7f7 |
completed | April 29, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 6:01 p.m.