Triple
T38842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baade Telescope |
E768
|
entity |
| Predicate | hasInstrument |
P35
|
FINISHED |
| Object |
FourStar
FourStar is a near-infrared camera and spectrograph used for wide-field astronomical imaging on large ground-based telescopes.
|
E3355
|
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: FourStar | Statement: [Baade Telescope, hasInstrument, FourStar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FourStar Context triple: [Baade Telescope, hasInstrument, FourStar]
-
A.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
-
B.
Trinity
The Trinity is the central Christian doctrine that God exists as one divine being in three distinct, co-equal persons: the Father, the Son, and the Holy Spirit.
-
C.
Fall Weiss
Fall Weiss was the codename for Nazi Germany’s military plan to invade Poland in September 1939, marking the beginning of World War II in Europe.
-
D.
APRU
APRU (Association of Pacific Rim Universities) is a consortium of leading research universities around the Pacific Rim that collaborates on education, research, and policy initiatives.
-
E.
Terminal 4
Terminal 4 is a major international passenger terminal at John F. Kennedy International Airport in New York City, serving numerous global airlines and long-haul routes.
- 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: FourStar Triple: [Baade Telescope, hasInstrument, FourStar]
Generated description
FourStar is a near-infrared camera and spectrograph used for wide-field astronomical imaging on large ground-based telescopes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FourStar Target entity description: FourStar is a near-infrared camera and spectrograph used for wide-field astronomical imaging on large ground-based telescopes.
-
A.
Power Five
Power Five refers to the group of the five most prominent and resource-rich NCAA Division I college athletic conferences that dominate top-level competition and media attention in major college sports, especially football.
-
B.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
-
C.
Trinity
The Trinity is the central Christian doctrine that God exists as one divine being in three distinct, co-equal persons: the Father, the Son, and the Holy Spirit.
-
D.
Fall Weiss
Fall Weiss was the codename for Nazi Germany’s military plan to invade Poland in September 1939, marking the beginning of World War II in Europe.
-
E.
DELTA
DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24acd14b48190b80d4329621583df |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e6222408190bc317b90aea16849 |
completed | Feb. 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69a250f6c0308190affd58f1bfa0c261 |
completed | Feb. 28, 2026, 2:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a251b471688190b067c5db8f03ac47 |
completed | Feb. 28, 2026, 2:23 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.