Triple
T34762758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunland |
E1002110
|
entity |
| Predicate | appearsOnMapIn |
P795
|
FINISHED |
| Object | The Lord of the Rings appendices |
—
|
LITERAL 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: The Lord of the Rings appendices | Statement: [Dunland, appearsOnMapIn, The Lord of the Rings appendices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsOnMapIn Context triple: [Dunland, appearsOnMapIn, The Lord of the Rings appendices]
-
A.
isOnSystemMap
Indicates that an entity is currently displayed or represented on a particular system map.
-
B.
mapsIn
Indicates that one entity is contained or represented within another entity as part of a mapping or map-like relationship.
-
C.
mapsIncluded
Indicates that one map or mapping is contained within, or is a subset of, another map or mapping.
-
D.
mayAppearOn
Indicates that one entity is allowed or able to be shown, featured, or present on another entity (such as a platform, medium, or surface).
-
E.
appearsIn
chosen
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
- F. None of above.
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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
Created at: May 3, 2026, 3:59 p.m.