Triple
T1284290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Space and Missile Defense School |
E27398
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SMDS
SMDS is the abbreviated name for the U.S. Army Space and Missile Defense School, a training institution focused on space and missile defense operations.
|
E146914
|
NE FINISHED |
How this triple was built (4 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: SMDS | Statement: [Army Space and Missile Defense School, shortName, SMDS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMDS Context triple: [Army Space and Missile Defense School, shortName, SMDS]
-
A.
SMF
SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
-
B.
SMR
SMR is the three-letter ISO 3166-1 alpha-3 country code assigned to San Marino.
-
C.
SMC
SMC is a nearby dwarf irregular galaxy and satellite of the Milky Way, visible from the Southern Hemisphere and important for studies of galactic evolution and stellar populations.
-
D.
SMMC
SMMC is the highest-ranking enlisted Marine who serves as the senior enlisted advisor to the Commandant of the United States Marine Corps.
-
E.
ES-MD
ES-MD is the ISO 3166-2 subdivision code that uniquely identifies Spain’s Community of Madrid.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SMDS Triple: [Army Space and Missile Defense School, shortName, SMDS]
Generated description
SMDS is the abbreviated name for the U.S. Army Space and Missile Defense School, a training institution focused on space and missile defense operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SMDS Target entity description: SMDS is the abbreviated name for the U.S. Army Space and Missile Defense School, a training institution focused on space and missile defense operations.
-
A.
SMF
SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
-
B.
SMR
SMR is the three-letter ISO 3166-1 alpha-3 country code assigned to San Marino.
-
C.
SMC
SMC is a nearby dwarf irregular galaxy and satellite of the Milky Way, visible from the Southern Hemisphere and important for studies of galactic evolution and stellar populations.
-
D.
SDC
SDC is a dust-detecting scientific instrument aboard NASA’s New Horizons spacecraft used to study space dust in the outer solar system.
-
E.
SMMC
SMMC is the highest-ranking enlisted Marine who serves as the senior enlisted advisor to the Commandant of the United States Marine Corps.
- F. None of above. chosen
Provenance (5 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b599ac819096fca9ada294d939 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2fdb3ac81909bc836e2a655130c |
completed | March 7, 2026, 10:13 p.m. |
| NEDg | Description generation | batch_69aca76c18d081908154d2a04c7a3328 |
completed | March 7, 2026, 10:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aca7d3c740819084c87134e5818455 |
completed | March 7, 2026, 10:33 p.m. |
Created at: March 1, 2026, 7:50 p.m.