Triple

T13088012
Position Surface form Disambiguated ID Type / Status
Subject Bataan E310386 entity
Predicate hasMunicipality P847 FINISHED
Object Orion
Orion is a coastal municipality in the province of Bataan in the Philippines, known for its historical significance and proximity to Manila Bay.
 E317273 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: Orion | Statement: [Bataan, hasMunicipality, Orion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orion
Context triple: [Bataan, hasMunicipality, Orion]
  • A. Orion
    Orion is a prominent constellation in the night sky, easily recognized by its three-star belt and associated in many cultures with the figure of a hunter.
  • B. Orion
    Orion was the Apollo 16 Lunar Module that carried astronauts John Young and Charles Duke to the Moon’s surface in April 1972.
  • C. Orion
    Orion is a powerful cosmic warrior and one of the central New Gods in DC Comics, known as the hot-headed son of Darkseid who struggles against his brutal heritage.
  • D. Orion
    "Orion" is a science fiction novel by Ben Bova that follows an immortal warrior manipulated through time to influence pivotal moments in human history.
  • E. Orion
    Orion is an American film production and distribution company known for releasing acclaimed movies such as "The Silence of the Lambs," "Amadeus," and "Dances with Wolves."
  • 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: Orion
Triple: [Bataan, hasMunicipality, Orion]
Generated description
Orion is a coastal municipality in the province of Bataan in the Philippines, known for its historical significance and proximity to Manila Bay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orion
Target entity description: Orion is a coastal municipality in the province of Bataan in the Philippines, known for its historical significance and proximity to Manila Bay.
  • A. Orion chosen
    Orion is a coastal municipality in the province of Bataan in the Philippines, known for its historical significance and proximity to Manila Bay.
  • B. Orion
    Orion is a powerful cosmic warrior and one of the central New Gods in DC Comics, known as the hot-headed son of Darkseid who struggles against his brutal heritage.
  • C. Orion
    Orion is a prominent constellation in the night sky, easily recognized by its three-star belt and associated in many cultures with the figure of a hunter.
  • D. Orion
    Orion was the Apollo 16 Lunar Module that carried astronauts John Young and Charles Duke to the Moon’s surface in April 1972.
  • E. Orion
    Orion is a major UK-based publishing imprint known for its wide range of commercial and literary fiction and non-fiction titles.
  • F. None of above.

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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d614704481908758cf8691a941ea completed May 3, 2026, 4:59 a.m.
NEDg Description generation batch_69f6db8b74e08190919245104ac7ebd9 completed May 3, 2026, 5:22 a.m.
NED2 Entity disambiguation (via description) batch_69f6dc4db1e0819082f1b7e196e7f0c0 completed May 3, 2026, 5:25 a.m.
Created at: April 9, 2026, 9:02 p.m.