Triple
T2979511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Bataan |
E80476
|
entity |
| Predicate | contains |
P35
|
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: [Province of Bataan, contains, Orion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orion Context triple: [Province of Bataan, contains, 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 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."
-
C.
Antares
Antares was the Lunar Module used in NASA’s Apollo 14 mission to land astronauts on the Moon in 1971.
-
D.
Orion Dash
Orion Dash is a digital-first imprint of the Orion Publishing Group that focuses on commercial fiction and genre titles.
-
E.
Orion Spring
Orion Spring is a non-fiction imprint of the Orion Publishing Group that focuses on health, wellbeing, and lifestyle titles.
- 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: [Province of Bataan, contains, 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
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 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."
-
C.
Antares
Antares was the Lunar Module used in NASA’s Apollo 14 mission to land astronauts on the Moon in 1971.
-
D.
Orion Dash
Orion Dash is a digital-first imprint of the Orion Publishing Group that focuses on commercial fiction and genre titles.
-
E.
Orion Spring
Orion Spring is a non-fiction imprint of the Orion Publishing Group that focuses on health, wellbeing, and lifestyle titles.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999cca40819082e2d6d10bdb7872 |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108ef607c8190865b079beb1b6da5 |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b10bc71c708190b1e620d41278c3e0 |
completed | March 11, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10c43a7c48190b63a7b3f0f180d44 |
completed | March 11, 2026, 6:31 a.m. |
Created at: March 8, 2026, 2:58 p.m.