Triple
T8510363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taurica |
E201436
|
entity |
| Predicate | hasInhabitant |
P6481
|
FINISHED |
| Object | Tauri |
E795398
|
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: Tauri | Statement: [Taurica, hasInhabitant, Tauri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tauri Context triple: [Taurica, hasInhabitant, Tauri]
-
A.
Tauri
chosen
Tauri were an ancient people of the Crimean Peninsula, known from Greek and Roman sources for their distinct culture and coastal strongholds around the Black Sea.
-
B.
Taurision
Taurision is an ancient settlement in North Macedonia, traditionally identified as the birthplace of the Byzantine emperor Justinian I.
-
C.
Tauresium
Tauresium was an ancient settlement in the Balkans, traditionally identified as the birthplace of the Byzantine emperor Justinian I.
-
D.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
E.
Tigani
Tigani is the former name of the town now known as Pythagoreio, a historic coastal settlement on the Greek island of Samos.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5e0cb1881909d1ff6ee9b3a65cc |
completed | March 31, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d10771c3288190860875ebcc12103e |
completed | April 4, 2026, 12:43 p.m. |
Created at: March 30, 2026, 6:15 p.m.