Triple
T3713882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aetolians |
E81479
|
entity |
| Predicate | religiousCenter |
P1191
|
FINISHED |
| Object | Thermon |
E354028
|
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: Thermon | Statement: [Aetolians, religiousCenter, Thermon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thermon Context triple: [Aetolians, religiousCenter, Thermon]
-
A.
Thermon
chosen
Thermon is an ancient Greek sanctuary site in Aetolia, best known as a major religious and political center dedicated to the worship of Apollo.
-
B.
Therma
Therma was an ancient settlement located on the island of Samothrace in the northern Aegean Sea.
-
C.
Termal
Termal is a district in Turkey’s Yalova Province renowned for its natural hot springs and thermal spa resorts.
-
D.
Thermantia
Thermantia was a late Roman noblewoman who became empress as the second wife of Emperor Honorius and daughter of the powerful general Stilicho.
-
E.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9ccfad081908730ed15c6f87ce2 |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db0985fc819082ca97445b1b234e |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:33 p.m.