Triple
T15871211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Londa burial caves |
E384833
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Makale |
E1038273
|
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: Makale | Statement: [Londa burial caves, locatedNear, Makale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makale Context triple: [Londa burial caves, locatedNear, Makale]
-
A.
Makale
chosen
Makale is a town in South Sulawesi, Indonesia, known as an administrative and cultural center of the Tana Toraja highlands.
-
B.
Nerekhta
Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
-
C.
The Paper
The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
-
D.
Warta
Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
-
E.
Warta
Warta is a small historic town in central Poland, situated in the Sieradz region along the Warta River.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fa1aac81908e4b86abedf295ca |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa94ca15c8190bdd5fe0a30b54b51 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.