Triple
T7227464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yogyakarta International Airport |
E154816
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Temon |
E620556
|
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: Temon | Statement: [Yogyakarta International Airport, locatedNear, Temon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temon Context triple: [Yogyakarta International Airport, locatedNear, Temon]
-
A.
Temon
chosen
Temon is a district in the Kulon Progo Regency of Yogyakarta, Indonesia, known for hosting the region’s new Yogyakarta International Airport and serving as a growing transportation hub.
-
B.
Ntem
Ntem is a town located in the South Region of Cameroon.
-
C.
Shiyali
Shiyali is a town in the Indian state of Tamil Nadu, historically known as the birthplace of pioneering librarian and mathematician S. R. Ranganathan.
-
D.
Shiyali
Shiyali is the given name of S. R. Ranganathan, the influential Indian mathematician and librarian known as the father of library science in India.
-
E.
Omaruru
Omaruru is a small historic town in central Namibia known for its colonial-era architecture, vineyards, and role as a local trading and farming center.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9df72cc81908d1c04e6e310fbb4 |
completed | March 27, 2026, 8:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc17a3788190842a852fb4b96185 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:54 p.m.