Triple
T18192395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerardo Roxas |
E435570
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Roxas |
E395477
|
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: Roxas | Statement: [Gerardo Roxas, familyName, Roxas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roxas Context triple: [Gerardo Roxas, familyName, Roxas]
-
A.
Roxas
Roxas is a coastal municipality in the Philippine province of Oriental Mindoro known for its fishing industry and role as a local transport hub.
-
B.
Roxas
chosen
Roxas is a Filipino surname most prominently associated with Manuel Roxas, the fifth President of the Philippines and the first leader of the independent Third Republic.
-
C.
Roxas
Roxas is a coastal municipality in the Philippine province of Palawan known for its fishing industry and access to nearby island and marine attractions.
-
D.
Roxas
Roxas is a municipality in the Philippine province of Isabela known for its agricultural economy and role as a local commercial center.
-
E.
Sora
Sora is a river in northwestern Slovenia that flows through the town of Škofja Loka and is a tributary of the Sava River.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d05974819094b4a50d081be881 |
completed | April 19, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0398090dc0819082d4bd4df858f847 |
completed | May 12, 2026, 9:13 p.m. |
Created at: April 10, 2026, 10:31 a.m.