Triple
T12373682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandar Udara Internasional Juanda |
E295064
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Waru
Waru is a district in Sidoarjo Regency, East Java, Indonesia, forming part of the greater Surabaya metropolitan area.
|
E979306
|
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: Waru | Statement: [Bandar Udara Internasional Juanda, locatedNear, Waru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waru Context triple: [Bandar Udara Internasional Juanda, locatedNear, Waru]
-
A.
Tiba
Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
-
B.
Bisa
Bisa is a Gur (Voltaic) language spoken primarily in parts of Burkina Faso and neighboring West African countries.
-
C.
Agulu
Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
-
D.
Wounaan
The Wounaan are an Indigenous people of Panama and Colombia known for their rich rainforest-based culture, intricate basketry, and traditional practices closely tied to riverine environments.
-
E.
Goura
Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
- 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: Waru Triple: [Bandar Udara Internasional Juanda, locatedNear, Waru]
Generated description
Waru is a district in Sidoarjo Regency, East Java, Indonesia, forming part of the greater Surabaya metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waru Target entity description: Waru is a district in Sidoarjo Regency, East Java, Indonesia, forming part of the greater Surabaya metropolitan area.
-
A.
Tiba
Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
-
B.
Bisa
Bisa is a Gur (Voltaic) language spoken primarily in parts of Burkina Faso and neighboring West African countries.
-
C.
Agulu
Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
-
D.
Wounaan
The Wounaan are an Indigenous people of Panama and Colombia known for their rich rainforest-based culture, intricate basketry, and traditional practices closely tied to riverine environments.
-
E.
Goura
Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa8ca7c8190b3f8e9c2ec23e837 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac1e82c8190abb46ca5799e6680 |
completed | May 2, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_69f62ef1cc4481909bc9fc768a9ef1f2 |
completed | May 2, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62f808b1481908f529decdbfc5be6 |
completed | May 2, 2026, 5:08 p.m. |
Created at: April 8, 2026, 9:54 p.m.