Triple
T15663709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agrafa |
E376631
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Karava |
E1148998
|
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: Karava | Statement: [Agrafa, highestPoint, Karava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karava Context triple: [Agrafa, highestPoint, Karava]
-
A.
Karava
chosen
Karava is the highest peak of Greece's remote Agrafa mountain range, known for its rugged terrain and natural beauty.
-
B.
Sabara
Sabara is a surname most notably associated with American actor Daryl Sabara, known for his role in the "Spy Kids" film series.
-
C.
Kafanchan
Kafanchan is a major town in southern Kaduna State, Nigeria, known as a key railway junction and commercial hub for the surrounding region.
-
D.
Carakan
Carakan is the traditional Javanese writing system used for the Javanese language and related regional languages of Indonesia.
-
E.
Tagakaolo
Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0e2668819092e52712cddd0721 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff679ff4648190a2f05d6445fa59df |
completed | May 9, 2026, 4:58 p.m. |
Created at: April 10, 2026, 4:16 a.m.