Triple
T9508278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Engelberg |
E229325
|
entity |
| Predicate | hasMountain |
P10602
|
FINISHED |
| Object | Titlis |
E708500
|
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: Titlis | Statement: [Engelberg, hasMountain, Titlis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Titlis Context triple: [Engelberg, hasMountain, Titlis]
-
A.
Titlis
chosen
Titlis is a prominent mountain in the Swiss Alps, famous for its glacier, panoramic views, and popular cable car access near Engelberg.
-
B.
Giogha
Giogha is the Scottish Gaelic name for the small Hebridean island of Gigha off the west coast of Kintyre in Scotland.
-
C.
Valchi Dol
Valchi Dol is a small town in northeastern Bulgaria that serves as an administrative and economic center within Varna Province.
-
D.
Lanin
Lanín is a prominent stratovolcano in the Andes on the border between Argentina and Chile, known for its conical snow-capped peak and popularity among climbers.
-
E.
Talgje
Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9855c5e48190a7d8d39b6d601679 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a2b34948190826b1f58258a4f54 |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:57 p.m.