Triple
T19720786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rizal |
E473601
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Rodriguez
Rodriguez is a municipality in the Philippines, located in the province of Rizal and known for its rapidly growing suburban communities and mountainous landscapes.
|
E1391793
|
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: Rodriguez | Statement: [Rizal, hasMunicipality, Rodriguez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodriguez Context triple: [Rizal, hasMunicipality, Rodriguez]
-
A.
Rodriguez
Rodriguez is a common Spanish-origin surname widely borne across the Spanish-speaking world and beyond.
-
B.
José Rodriguez
José Rodriguez is a supporting character in the Fifty Shades series, portrayed as Anastasia Steele’s friend and would-be suitor whose presence creates tension with Christian Grey.
-
C.
Jose Rodriguez
Jose Rodriguez is a fictional character portrayed by actor Victor Rasuk, best known from the film "Raising Victor Vargas."
-
D.
Lito Rodriguez
Lito Rodriguez is a closeted Mexican telenovela star and one of the eight psychically linked protagonists in the science fiction series Sense8.
-
E.
Álvarez
Álvarez is a common Spanish surname borne by numerous notable individuals across the Spanish-speaking world.
- 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: Rodriguez Triple: [Rizal, hasMunicipality, Rodriguez]
Generated description
Rodriguez is a municipality in the Philippines, located in the province of Rizal and known for its rapidly growing suburban communities and mountainous landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rodriguez Target entity description: Rodriguez is a municipality in the Philippines, located in the province of Rizal and known for its rapidly growing suburban communities and mountainous landscapes.
-
A.
Rodriguez
Rodriguez is a common Spanish-origin surname widely borne across the Spanish-speaking world and beyond.
-
B.
José Rodriguez
José Rodriguez is a supporting character in the Fifty Shades series, portrayed as Anastasia Steele’s friend and would-be suitor whose presence creates tension with Christian Grey.
-
C.
Jose Rodriguez
Jose Rodriguez is a fictional character portrayed by actor Victor Rasuk, best known from the film "Raising Victor Vargas."
-
D.
Lito Rodriguez
Lito Rodriguez is a closeted Mexican telenovela star and one of the eight psychically linked protagonists in the science fiction series Sense8.
-
E.
Álvarez
Álvarez is a common Spanish surname borne by numerous notable individuals across the Spanish-speaking world.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f483c481908c6b3114bf9c5934 |
completed | April 20, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07aba719b48190a8ce14facba8f7d6 |
completed | May 15, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_6a07adc08ca081908df09c099cb710c2 |
completed | May 15, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ae4ba5a88190a6ab297fb99cdd9d |
completed | May 15, 2026, 11:37 p.m. |
Created at: April 10, 2026, 1:46 p.m.