Triple
T8388031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dark Tower III: The Waste Lands |
E197868
|
entity |
| Predicate | featuresLocation |
P7690
|
FINISHED |
| Object | Lud |
E721700
|
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: Lud | Statement: [The Dark Tower III: The Waste Lands, featuresLocation, Lud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lud Context triple: [The Dark Tower III: The Waste Lands, featuresLocation, Lud]
-
A.
Lud
chosen
Lud is a decayed, trap-filled city in Stephen King’s The Dark Tower series, known for its warring factions, ancient technology, and pervasive atmosphere of ruin.
-
B.
LUD
LUD is the IATA airport code for Lüderitz Airport, a regional airport serving the coastal town of Lüderitz in Namibia.
-
C.
Ludes
Ludes is a wine-producing village in France’s Champagne region, known for its vineyards on the Montagne de Reims.
-
D.
Ludag
Ludag is a small coastal settlement on the island of South Uist in Scotland’s Outer Hebrides.
-
E.
Ludens
Ludens is the futuristic, spacesuit-clad mascot character of Kojima Productions, prominently featured in the studio’s branding and promotional materials.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb81090f688190a3a8d1680383c361 |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde83aac448190b74f65507170a8f7 |
completed | April 2, 2026, 3:53 a.m. |
Created at: March 30, 2026, 6:03 p.m.