Triple

T8237250
Position Surface form Disambiguated ID Type / Status
Subject Romblon E192440 entity
Predicate hasMunicipality P847 FINISHED
Object Ferrol
Ferrol is a coastal municipality located on Tablas Island in the province of Romblon in the Philippines.
E724004 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: Ferrol | Statement: [Romblon, hasMunicipality, Ferrol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferrol
Context triple: [Romblon, hasMunicipality, Ferrol]
  • A. Ferrol
    Ferrol is a coastal city and major naval shipbuilding center in the Galicia region of northwestern Spain.
  • B. Pontevedra
    Pontevedra is a coastal municipality in the province of Capiz in the Philippines, known for its fishing communities and agricultural economy.
  • C. Pontevedra
    Pontevedra is a coastal province in northwestern Spain known for its historic towns, Atlantic landscapes, and location within the autonomous community of Galicia.
  • D. A Coruña
    A Coruña is a coastal city in northwestern Spain known for its historic lighthouse, the Tower of Hercules, and its role as an important cultural and economic center in the region.
  • E. Gijón
    Gijón is a coastal city in northern Spain’s Asturias region, known for its major seaport, maritime heritage, and beaches along the Bay of Biscay.
  • 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: Ferrol
Triple: [Romblon, hasMunicipality, Ferrol]
Generated description
Ferrol is a coastal municipality located on Tablas Island in the province of Romblon in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ferrol
Target entity description: Ferrol is a coastal municipality located on Tablas Island in the province of Romblon in the Philippines.
  • A. Ferrol
    Ferrol is a coastal city and major naval shipbuilding center in the Galicia region of northwestern Spain.
  • B. Pontevedra
    Pontevedra is a coastal province in northwestern Spain known for its historic towns, Atlantic landscapes, and location within the autonomous community of Galicia.
  • C. Pontevedra
    Pontevedra is a coastal municipality in the province of Capiz in the Philippines, known for its fishing communities and agricultural economy.
  • D. A Coruña
    A Coruña is a coastal city in northwestern Spain known for its historic lighthouse, the Tower of Hercules, and its role as an important cultural and economic center in the region.
  • E. Gijón
    Gijón is a coastal city in northern Spain’s Asturias region, known for its major seaport, maritime heritage, and beaches along the Bay of Biscay.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb783929c081909db1182947755bae completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd67f7dcec81909b74fd2da3609fc3 completed April 1, 2026, 6:46 p.m.
NEDg Description generation batch_69cd6d4fa17481909f28ad7eb9bceb42 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7dd65fac8190b8f44b1cf2be7bdd completed April 1, 2026, 8:19 p.m.
Created at: March 30, 2026, 5:47 p.m.