Triple
T11596341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taxales |
E275009
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Pinales |
E8183
|
NE FINISHED |
How this triple was built (2 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: Pinales | Statement: [Taxales, relatedTo, Pinales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinales Context triple: [Taxales, relatedTo, Pinales]
-
A.
Pinales
chosen
Pinales is the botanical order of coniferous trees and shrubs that includes pines, firs, spruces, and related needle-leaved, cone-bearing plants.
-
B.
Palo
Palo is a coastal municipality in the province of Leyte in the Philippines, historically significant as one of the main landing sites of General Douglas MacArthur during the liberation of the country in World War II.
-
C.
Ventanarosa
Ventanarosa is a film and television production company founded by Salma Hayek, known for producing culturally rich, often Latinx-focused projects.
-
D.
Chula
Chula is Thailand’s oldest and one of its most prestigious universities, renowned for its academic excellence and central role in the country’s higher education system.
-
E.
Sariaya
Sariaya is a historic coastal municipality in the province of Quezon, Philippines, known for its heritage houses, agricultural produce, and beaches along Tayabas Bay.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89549c870819086e16e9110bbad87 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee86f246848190a5b020c3e05d02dd |
completed | April 26, 2026, 9:43 p.m. |
Created at: April 8, 2026, 9:38 p.m.