Triple
T18198891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESPaDOnS |
E435729
|
entity |
| Predicate | associatedSurvey |
P49793
|
FINISHED |
| Object |
Toupies
Toupies is an astronomical survey project linked to the ESPaDOnS spectropolarimeter, focused on studying the properties and evolution of stars.
|
E1311771
|
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: Toupies | Statement: [ESPaDOnS, associatedSurvey, Toupies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toupies Context triple: [ESPaDOnS, associatedSurvey, Toupies]
-
A.
Toffen
Toffen is a small Swiss municipality in the canton of Bern, located in the Gürbetal valley near the city of Bern.
-
B.
Tootles
Tootles is one of the Lost Boys in J.M. Barrie’s Peter Pan stories, often portrayed as a gentle, somewhat unlucky boy known for his remorseful nature.
-
C.
Tukkies
Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
-
D.
T-Spoon
T-Spoon is the nickname of Teresa Weatherspoon, a former WNBA star point guard and Hall of Famer known for her defensive prowess and clutch play.
-
E.
Teglie
Teglie is a locality or district that forms part of the municipality of Concesio in northern Italy.
- 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: Toupies Triple: [ESPaDOnS, associatedSurvey, Toupies]
Generated description
Toupies is an astronomical survey project linked to the ESPaDOnS spectropolarimeter, focused on studying the properties and evolution of stars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toupies Target entity description: Toupies is an astronomical survey project linked to the ESPaDOnS spectropolarimeter, focused on studying the properties and evolution of stars.
-
A.
Toffen
Toffen is a small Swiss municipality in the canton of Bern, located in the Gürbetal valley near the city of Bern.
-
B.
Tootles
Tootles is one of the Lost Boys in J.M. Barrie’s Peter Pan stories, often portrayed as a gentle, somewhat unlucky boy known for his remorseful nature.
-
C.
Tukkies
Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
-
D.
T-Spoon
T-Spoon is the nickname of Teresa Weatherspoon, a former WNBA star point guard and Hall of Famer known for her defensive prowess and clutch play.
-
E.
Teglie
Teglie is a locality or district that forms part of the municipality of Concesio in northern Italy.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d545f4819090285d1446bd3c27 |
completed | April 19, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03980f600c819099f3fb14744f8afa |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a0398fb7fb481908a32c56a798d81fd |
completed | May 12, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a039a2b85888190bbcae1ba9d8ba715 |
completed | May 12, 2026, 9:22 p.m. |
Created at: April 10, 2026, 10:31 a.m.