Triple
T3516565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASA Space Technology Mission Directorate |
E74321
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
STMD
STMD is NASA’s Space Technology Mission Directorate, responsible for developing and demonstrating cutting-edge space technologies to enable future NASA missions and expand space exploration capabilities.
|
E365023
|
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: STMD | Statement: [NASA Space Technology Mission Directorate, abbreviation, STMD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STMD Context triple: [NASA Space Technology Mission Directorate, abbreviation, STMD]
-
A.
STN
STN is the three-letter IATA airport code for London Stansted Airport, a major international airport serving the London area in the United Kingdom.
-
B.
STM
STM is the public transit agency serving the city of Montreal, operating its bus and metro networks.
-
C.
ST
ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
-
D.
ST
ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
-
E.
ST
ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
- 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: STMD Triple: [NASA Space Technology Mission Directorate, abbreviation, STMD]
Generated description
STMD is NASA’s Space Technology Mission Directorate, responsible for developing and demonstrating cutting-edge space technologies to enable future NASA missions and expand space exploration capabilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: STMD Target entity description: STMD is NASA’s Space Technology Mission Directorate, responsible for developing and demonstrating cutting-edge space technologies to enable future NASA missions and expand space exploration capabilities.
-
A.
STN
STN is the three-letter IATA airport code for London Stansted Airport, a major international airport serving the London area in the United Kingdom.
-
B.
STM
STM is the public transit agency serving the city of Montreal, operating its bus and metro networks.
-
C.
ST
ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
-
D.
ST
ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
-
E.
ST
ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc31c0688190a890621a901f5f5f |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e7da9c08190ab417b45339513bd |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b37f61b4a88190b36ada98f063edcf |
completed | March 13, 2026, 3:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b37fbec2ec81909228716c70ffa2bd |
completed | March 13, 2026, 3:08 a.m. |
Created at: March 8, 2026, 3:19 p.m.