Triple
T16017403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyacinthia |
E388502
|
entity |
| Predicate | hasCulturalContext |
P1439
|
FINISHED |
| Object | ancient Sparta |
E56539
|
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: ancient Sparta | Statement: [Hyacinthia, hasCulturalContext, ancient Sparta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ancient Sparta Context triple: [Hyacinthia, hasCulturalContext, ancient Sparta]
-
A.
Sparta
chosen
Sparta was a prominent ancient Greek city-state known for its militaristic society, rigorous citizen training, and dominant land-based army.
-
B.
Sparta
Sparta is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
-
C.
Sparta
Sparta is a historic village in Elgin County, Ontario, known for its 19th-century heritage buildings and roots as a Quaker settlement.
-
D.
Spartan society
Spartan society was the highly militarized and hierarchical city-state of ancient Greece centered on Sparta, renowned for its rigorous citizen training, austere lifestyle, and reliance on a large population of subjugated laborers.
-
E.
SPARTA
SPARTA (Spartanburg Area Regional Transit Agency) is the public transportation system serving the Spartanburg, South Carolina area with fixed-route and paratransit bus services.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18295c6a4819093263db8669d4b08 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbcdf2548190999a6d093c7fb64a |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:55 a.m.