Triple
T4186136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airlangga |
E88315
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Watan Mas
Watan Mas is a fictional capital city in the Indonesian novel "Airlangga," serving as the political and cultural center of the story's kingdom.
|
E419186
|
NE FINISHED |
How this triple was built (4 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: Watan Mas | Statement: [Airlangga, capital, Watan Mas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watan Mas Context triple: [Airlangga, capital, Watan Mas]
-
A.
Wahatoya
Wahatoya is the traditional name for Colorado’s twin Spanish Peaks, a prominent pair of volcanic mountains that serve as a well-known landmark on the eastern flank of the Sangre de Cristo Range.
-
B.
Shimaore
Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
-
C.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
D.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
E.
Wakatsuki
Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Watan Mas Triple: [Airlangga, capital, Watan Mas]
Generated description
Watan Mas is a fictional capital city in the Indonesian novel "Airlangga," serving as the political and cultural center of the story's kingdom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Watan Mas Target entity description: Watan Mas is a fictional capital city in the Indonesian novel "Airlangga," serving as the political and cultural center of the story's kingdom.
-
A.
Wahatoya
Wahatoya is the traditional name for Colorado’s twin Spanish Peaks, a prominent pair of volcanic mountains that serve as a well-known landmark on the eastern flank of the Sangre de Cristo Range.
-
B.
Shimaore
Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
-
C.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
D.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
E.
Wakatsuki
Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
- F. None of above. chosen
Provenance (5 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af032490888190bbfa422003caca99 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a00e3308190b4fbed211069204a |
completed | March 14, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_69b58aa95428819085048691c77e2aea |
completed | March 14, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58b34c4e881909fd44fbe8acedda4 |
completed | March 14, 2026, 4:22 p.m. |
Created at: March 9, 2026, 3:45 p.m.