Triple
T13393449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Lama |
E319631
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | High Lama |
E319631
|
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: High Lama | Statement: [High Lama, hasTitle, High Lama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High Lama Context triple: [High Lama, hasTitle, High Lama]
-
A.
High Lama
chosen
High Lama is the wise and enigmatic spiritual leader of the hidden utopian lamasery of Shangri-La in James Hilton’s novel "Lost Horizon."
-
B.
LAMA
LAMA is a light utility helicopter model, derived from the Aérospatiale SA 315 Lama, known for its high-altitude performance and use in mountain rescue and transport operations.
-
C.
Long Lama
Long Lama is a small rural town in northern Sarawak, Malaysia, known as a remote upriver settlement accessible mainly by river and logging roads.
-
D.
Lamas
Lamas is a small historic city in Peru’s San Martín Region, known for its indigenous Quechua-speaking communities and traditional Amazonian-Andean culture.
-
E.
High Amana
High Amana is one of the historic villages that make up the communal Amana Colonies settlement in Iowa, known for its preserved 19th-century German Pietist heritage.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d74e5881909828854bba7d9a87 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73981816881908aac3ab6b1921904 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:34 p.m.