Triple
T5725915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarantula Nebula |
E126263
|
entity |
| Predicate | locatedInConstellation |
P40
|
FINISHED |
| Object | Dorado |
E110991
|
NE FINISHED |
How this triple was built (2 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: Dorado | Statement: [Tarantula Nebula, locatedInConstellation, Dorado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorado Context triple: [Tarantula Nebula, locatedInConstellation, Dorado]
-
A.
Dorado
Dorado is a coastal municipality in northern Puerto Rico known for its upscale resorts, golf courses, and residential communities.
-
B.
Dorado
chosen
Dorado is a southern sky constellation known for containing most of the Large Magellanic Cloud and the southern portion of the Milky Way’s satellite galaxy.
-
C.
Redonda
Redonda is a small, uninhabited rocky island in the Caribbean Sea that forms part of the nation of Antigua and Barbuda.
-
D.
Marín
Marín is a coastal town in the province of Pontevedra, Galicia, Spain, known for its naval traditions and as a base of the Spanish Navy.
-
E.
La Barra
La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0250a7f6c8190a264935086608186 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a86eea0819090bf6f9952d8dcc9 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:47 p.m.