Triple
T3098351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Taygetus |
E64654
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Spartan society |
E319446
|
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: Spartan society | Statement: [Mount Taygetus, associatedWith, Spartan society]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spartan society Context triple: [Mount Taygetus, associatedWith, Spartan society]
-
A.
Spartans
Spartans are the athletic teams of Michigan State University, most prominently known for their NCAA Division I football program and distinctive green and white identity.
-
B.
Spartans
The Spartans are the athletic teams representing the University of Tampa in collegiate sports.
-
C.
Spartans
Spartans is the nickname and mascot for the athletic teams representing San Jose State University in collegiate sports.
-
D.
Sparta
Sparta was a prominent ancient Greek city-state known for its militaristic society, rigorous citizen training, and dominant land-based army.
-
E.
Spartan polis
chosen
The Spartan polis was the militaristic city-state of ancient Greece centered on Sparta, renowned for its disciplined warrior society and dominant land army.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23dde988190a1aca020685594f3 |
completed | March 8, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20378a1488190bd0fa7d3f4639220 |
completed | March 12, 2026, 12:06 a.m. |
Created at: March 8, 2026, 3:03 p.m.