Triple
T16336334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaia Data Release 1 |
E396687
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
TGAS
TGAS is the Tycho-Gaia Astrometric Solution, an early Gaia-based star catalog combining Hipparcos/Tycho data with Gaia’s first observations to provide improved positions, parallaxes, and proper motions.
|
E1207758
|
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: TGAS | Statement: [Gaia Data Release 1, shortName, TGAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TGAS Context triple: [Gaia Data Release 1, shortName, TGAS]
-
A.
TAS
TAS is the commonly used French acronym for the Court of Arbitration for Sport, an international body that settles sports-related disputes through arbitration.
-
B.
TAS
TAS is the IATA airport code for Islam Karimov Tashkent International Airport, the main international gateway to Tashkent, Uzbekistan.
-
C.
TGW
TGW is the ICAO airline designator for Scoot, a Singapore-based low-cost carrier.
-
D.
TG
TG is the official postal abbreviation for the Swiss canton of Thurgau.
-
E.
TG
TG is the IATA airline designator used to identify Thai Airways International on flight schedules and tickets.
- 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: TGAS Triple: [Gaia Data Release 1, shortName, TGAS]
Generated description
TGAS is the Tycho-Gaia Astrometric Solution, an early Gaia-based star catalog combining Hipparcos/Tycho data with Gaia’s first observations to provide improved positions, parallaxes, and proper motions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TGAS Target entity description: TGAS is the Tycho-Gaia Astrometric Solution, an early Gaia-based star catalog combining Hipparcos/Tycho data with Gaia’s first observations to provide improved positions, parallaxes, and proper motions.
-
A.
TAS
TAS is the commonly used French acronym for the Court of Arbitration for Sport, an international body that settles sports-related disputes through arbitration.
-
B.
TAS
TAS is the IATA airport code for Islam Karimov Tashkent International Airport, the main international gateway to Tashkent, Uzbekistan.
-
C.
TGW
TGW is the ICAO airline designator for Scoot, a Singapore-based low-cost carrier.
-
D.
TG
TG is the official postal abbreviation for the Swiss canton of Thurgau.
-
E.
TG
TG is the IATA airline designator used to identify Thai Airways International on flight schedules and tickets.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e3af7881908a3116c41ed69115 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0026193a3c81909c640426ab798c1c |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0029e310d481909db381ad98eda654 |
completed | May 10, 2026, 6:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002a3c898c8190a34e01b5827a7e95 |
completed | May 10, 2026, 6:48 a.m. |
Created at: April 10, 2026, 5:07 a.m.