Triple

T13067960
Position Surface form Disambiguated ID Type / Status
Subject Ilocos Sur E329377 entity
Predicate hasMunicipality P847 FINISHED
Object Tagudin
Tagudin is a coastal municipality in the province of Ilocos Sur in the Philippines, known historically as a trading and administrative center in the region.
E1020770 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: Tagudin | Statement: [Ilocos Sur, hasMunicipality, Tagudin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tagudin
Context triple: [Ilocos Sur, hasMunicipality, Tagudin]
  • A. Balasagun
    Balasagun was a prominent medieval Central Asian city in the Chüy Valley, historically significant as a political and cultural center along the Silk Road.
  • B. Tuder
    Tuder was an important ancient Umbrian settlement in central Italy, known today as the hilltop town of Todi.
  • C. Tomarza
    Tomarza is a district and town in central Turkey known for its agricultural activities and location within Kayseri Province in Central Anatolia.
  • D. Toramana
    Toramana was a prominent Huna ruler in early 6th-century northern India, known for his extensive military campaigns and significant role in weakening the Gupta Empire.
  • E. Tigana
    Tigana is a French former professional footballer and manager, best known as a dynamic midfielder for clubs like Bordeaux and the French national team during the 1980s.
  • 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: Tagudin
Triple: [Ilocos Sur, hasMunicipality, Tagudin]
Generated description
Tagudin is a coastal municipality in the province of Ilocos Sur in the Philippines, known historically as a trading and administrative center in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tagudin
Target entity description: Tagudin is a coastal municipality in the province of Ilocos Sur in the Philippines, known historically as a trading and administrative center in the region.
  • A. Balasagun
    Balasagun was a prominent medieval Central Asian city in the Chüy Valley, historically significant as a political and cultural center along the Silk Road.
  • B. Tuder
    Tuder was an important ancient Umbrian settlement in central Italy, known today as the hilltop town of Todi.
  • C. Tomarza
    Tomarza is a district and town in central Turkey known for its agricultural activities and location within Kayseri Province in Central Anatolia.
  • D. Toramana
    Toramana was a prominent Huna ruler in early 6th-century northern India, known for his extensive military campaigns and significant role in weakening the Gupta Empire.
  • E. Tigana
    Tigana is a French former professional footballer and manager, best known as a dynamic midfielder for clubs like Bordeaux and the French national team during the 1980s.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ec8ba48190baf52c7823482680 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d603419c8190b8d1726365db59dc completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6d943a80c81909bc39b9a9ef303bd completed May 3, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69f6da1e56388190b536831b2c6d493f completed May 3, 2026, 5:16 a.m.
Created at: April 9, 2026, 9 p.m.