Triple
T13105263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAM.gov |
E310827
|
entity |
| Predicate | integrates |
P1075
|
FINISHED |
| Object | FPDS |
E310828
|
NE 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: FPDS | Statement: [SAM.gov, integrates, FPDS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FPDS Context triple: [SAM.gov, integrates, FPDS]
-
A.
FPDS-NG
chosen
FPDS-NG (Federal Procurement Data System–Next Generation) is the U.S. government’s central database for collecting, tracking, and reporting federal contract and procurement information.
-
B.
FPDA
FPDA is a multilateral defense agreement between the United Kingdom, Australia, New Zealand, Malaysia, and Singapore focused on mutual consultation and cooperation in the event of external threats to Malaysia or Singapore.
-
C.
FDS
FDS is the onboard computer system on NASA’s Voyager 1 spacecraft responsible for managing instruments and formatting data for transmission back to Earth.
-
D.
FDS
FDS is a prestigious postgraduate professional qualification in dentistry awarded by certain Royal Colleges and dental institutions.
-
E.
PDS
PDS is the IATA airport code for the international airport serving Piedras Negras in the Mexican state of Coahuila.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98154c9f48190aeca779d97151759 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27a325c8190a5c0f1a582340078 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:05 p.m.