Triple
T17268198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dharmawangsa Teguh |
E419182
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Watugaluh |
E97279
|
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: Watugaluh | Statement: [Dharmawangsa Teguh, capital, Watugaluh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watugaluh Context triple: [Dharmawangsa Teguh, capital, Watugaluh]
-
A.
Watugaluh
chosen
Watugaluh was an important historical city in Java that served as the political and administrative center of the Medang Kingdom.
-
B.
Talokan
Talokan is a fictional underwater Mesoamerican-inspired kingdom ruled by Namor in the Marvel Cinematic Universe film "Black Panther: Wakanda Forever."
-
C.
Letang
Letang is a notable town in eastern Nepal’s Morang District, recognized as a local commercial and administrative center.
-
D.
Letang
Letang is the surname of Kris Letang, a professional ice hockey defenseman best known for his long career with the NHL’s Pittsburgh Penguins.
-
E.
Luwangan
Luwangan is an Austronesian language spoken by the Lawangan people of central Indonesia, particularly in parts of Kalimantan.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4683c4819083a210255662136c |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0179482a348190a00dd3cd5076431e |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.