Triple
T3503844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cavite |
E74028
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Amadeo
Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
|
E364959
|
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: Amadeo | Statement: [Cavite, hasMunicipality, Amadeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amadeo Context triple: [Cavite, hasMunicipality, Amadeo]
-
A.
Amedeo
Amedeo is an Italian given name most famously borne by the scientist Amedeo Avogadro, known for Avogadro's law and Avogadro's number in chemistry.
-
B.
Eugenio
Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
-
C.
Eduardo
Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
-
D.
Arturo
Arturo is a masculine given name of Spanish and Italian origin, equivalent to Arthur in English.
-
E.
Alejo
Alejo is a Spanish given name commonly used as a short form of Alejandro.
- 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: Amadeo Triple: [Cavite, hasMunicipality, Amadeo]
Generated description
Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amadeo Target entity description: Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
-
A.
Amedeo
Amedeo is an Italian given name most famously borne by the scientist Amedeo Avogadro, known for Avogadro's law and Avogadro's number in chemistry.
-
B.
Eugenio
Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
-
C.
Eduardo
Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
-
D.
Arturo
Arturo is a masculine given name of Spanish and Italian origin, equivalent to Arthur in English.
-
E.
Alejo
Alejo is a Spanish given name commonly used as a short form of Alejandro.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf0c2b48190b49923137bb9e45d |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e6aea8c81908dbe4748dd8a9d9c |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b37f52d9188190a37d06ff220ffdb3 |
completed | March 13, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b37fbec2ec81909228716c70ffa2bd |
completed | March 13, 2026, 3:08 a.m. |
Created at: March 8, 2026, 3:18 p.m.