Triple
T19057692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tablas Island |
E466441
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Calatrava
Calatrava is a coastal municipality located on Tablas Island in the province of Romblon, Philippines.
|
E1356253
|
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: Calatrava | Statement: [Tablas Island, hasMunicipality, Calatrava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calatrava Context triple: [Tablas Island, hasMunicipality, Calatrava]
-
A.
Santiago Calatrava
Santiago Calatrava is a renowned Spanish architect, structural engineer, and sculptor known for his futuristic, sculptural buildings and bridges that often feature sweeping white forms and innovative engineering.
-
B.
José María Calatrava
José María Calatrava was a Spanish liberal politician and jurist who served as Prime Minister during the early 19th century constitutional period.
-
C.
Urquiola
Urquiola is the surname of Patricia Urquiola, a renowned Spanish architect and industrial designer known for her innovative furniture and interior designs.
-
D.
Gaudi
Gaudi is Habana Labs’ AI training processor designed to accelerate deep learning workloads with high performance and efficiency.
-
E.
Moneo
Moneo is a Spanish surname most notably associated with Rafael Moneo, the renowned Pritzker Prize–winning architect.
- 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: Calatrava Triple: [Tablas Island, hasMunicipality, Calatrava]
Generated description
Calatrava is a coastal municipality located on Tablas Island in the province of Romblon, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calatrava Target entity description: Calatrava is a coastal municipality located on Tablas Island in the province of Romblon, Philippines.
-
A.
Santiago Calatrava
Santiago Calatrava is a renowned Spanish architect, structural engineer, and sculptor known for his futuristic, sculptural buildings and bridges that often feature sweeping white forms and innovative engineering.
-
B.
José María Calatrava
José María Calatrava was a Spanish liberal politician and jurist who served as Prime Minister during the early 19th century constitutional period.
-
C.
Urquiola
Urquiola is the surname of Patricia Urquiola, a renowned Spanish architect and industrial designer known for her innovative furniture and interior designs.
-
D.
Gaudi
Gaudi is Habana Labs’ AI training processor designed to accelerate deep learning workloads with high performance and efficiency.
-
E.
Moneo
Moneo is a Spanish surname most notably associated with Rafael Moneo, the renowned Pritzker Prize–winning architect.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc0742288190a594be859184841a |
completed | April 20, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05c55bceb081908f7d8a74dd01dc32 |
completed | May 14, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_6a05c93eb7b881909bf53002224ea86e |
completed | May 14, 2026, 1:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05ca4de6448190aca4c8b4a5af9416 |
completed | May 14, 2026, 1:12 p.m. |
Created at: April 10, 2026, 12:03 p.m.