Triple
T5995373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indre-et-Loire |
E133453
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object | Tourangelle |
E207000
|
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: Tourangelle | Statement: [Indre-et-Loire, demonym, Tourangelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tourangelle Context triple: [Indre-et-Loire, demonym, Tourangelle]
-
A.
Tourangelle
chosen
Tourangelle is the French term for a female inhabitant or native of the city of Tours in central France.
-
B.
Tahurangi
Tahurangi is the highest summit of Mount Ruapehu, a prominent active stratovolcano in New Zealand’s central North Island.
-
C.
Tashtego
Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
-
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.
Tingri
Tingri is a small Tibetan town in China’s Tibet Autonomous Region, known as a gateway and staging point for expeditions to nearby Himalayan peaks including Mount Everest and Cho Oyu.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e943dcc8190a09817e8ef0e4188 |
completed | March 22, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1086f6b5481908c573c6e533ad98a |
completed | March 23, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:05 p.m.