Triple
T18912677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pressurized Mating Adapter-2 |
E462644
|
entity |
| Predicate | serialNumber |
P17884
|
FINISHED |
| Object | PMA-2 |
—
|
NE NERFINISHED |
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: PMA-2 | Statement: [Pressurized Mating Adapter-2, serialNumber, PMA-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PMA-2 Context triple: [Pressurized Mating Adapter-2, serialNumber, PMA-2]
-
A.
PMA-2
chosen
PMA-2 is a pressurized docking adapter on the International Space Station’s Destiny laboratory module that enables visiting spacecraft to securely dock with the station.
-
B.
PMA-3
PMA-3 is a pressurized docking adapter on the International Space Station that enables visiting spacecraft to safely dock and transfer crew and cargo.
-
C.
PMA
PMA is an abbreviation commonly used for the U.S. Department of Agriculture’s former Production and Marketing Administration, which managed agricultural production and commodity marketing programs.
-
D.
PMA
PMA is the station code for Portimão railway station in Portugal’s Algarve region.
-
E.
PMA
PMA is the premier officer training institution of the Pakistan Army, located in Kakul near Abbottabad.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c624516c81909e6bf04707d3c71c |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:58 a.m.