Triple

T21392034
Position Surface form Disambiguated ID Type / Status
Subject Indragiri River E527677 entity
Predicate hasCityOnBank P7935 FINISHED
Object Tembilahan
Tembilahan is a town in Riau Province, Indonesia, serving as the capital of Indragiri Hilir Regency and an important local center for trade and river transport.
E1482200 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: Tembilahan | Statement: [Indragiri River, hasCityOnBank, Tembilahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tembilahan
Context triple: [Indragiri River, hasCityOnBank, Tembilahan]
  • A. Padang Panjang
    Padang Panjang is a small highland city in West Sumatra, Indonesia, known for its Minangkabau cultural heritage and cool mountainous climate.
  • B. Padang Besar
    Padang Besar is a border town in northern Malaysia known as a key land gateway and trading hub between Malaysia and Thailand.
  • C. Binjai
    Binjai is a city in Indonesia located near Medan on the island of Sumatra, known as a regional trade and transit hub.
  • D. Simpang Empat
    Simpang Empat is the administrative and economic center of West Pasaman Regency in West Sumatra, Indonesia.
  • E. Lubuk Pakam
    Lubuk Pakam is an administrative town in North Sumatra, Indonesia, known as a local governmental and commercial center in the region.
  • 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: Tembilahan
Triple: [Indragiri River, hasCityOnBank, Tembilahan]
Generated description
Tembilahan is a town in Riau Province, Indonesia, serving as the capital of Indragiri Hilir Regency and an important local center for trade and river transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tembilahan
Target entity description: Tembilahan is a town in Riau Province, Indonesia, serving as the capital of Indragiri Hilir Regency and an important local center for trade and river transport.
  • A. Padang Panjang
    Padang Panjang is a small highland city in West Sumatra, Indonesia, known for its Minangkabau cultural heritage and cool mountainous climate.
  • B. Padang Besar
    Padang Besar is a border town in northern Malaysia known as a key land gateway and trading hub between Malaysia and Thailand.
  • C. Binjai
    Binjai is a city in Indonesia located near Medan on the island of Sumatra, known as a regional trade and transit hub.
  • D. Simpang Empat
    Simpang Empat is the administrative and economic center of West Pasaman Regency in West Sumatra, Indonesia.
  • E. Lubuk Pakam
    Lubuk Pakam is an administrative town in North Sumatra, Indonesia, known as a local governmental and commercial center in the region.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cbfef08190a33ac1f198c82cd0 completed April 26, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb481ba48190b6d21a51ae23a281 completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea3994481908b7a782fd384603a completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bfa27d848190bb77d632359a11b3 completed May 17, 2026, 1:16 p.m.
Created at: April 16, 2026, 5:13 p.m.