Triple
T12335905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maguindanao |
E294084
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Talayan
Talayan is a municipality located in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao, Philippines.
|
E978474
|
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: Talayan | Statement: [Maguindanao, hasMunicipality, Talayan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talayan Context triple: [Maguindanao, hasMunicipality, Talayan]
-
A.
Tambolaka
Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
-
B.
Talokan
Talokan is a fictional underwater Mesoamerican-inspired kingdom ruled by Namor in the Marvel Cinematic Universe film "Black Panther: Wakanda Forever."
-
C.
Panay
Panay is a major island in the Western Visayas region of the Philippines, known for its rich history, agriculture, and proximity to the resort island of Boracay.
-
D.
Tayauh
Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
-
E.
Palaonda
Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
- 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: Talayan Triple: [Maguindanao, hasMunicipality, Talayan]
Generated description
Talayan is a municipality located in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Talayan Target entity description: Talayan is a municipality located in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao, Philippines.
-
A.
Tambolaka
Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
-
B.
Talokan
Talokan is a fictional underwater Mesoamerican-inspired kingdom ruled by Namor in the Marvel Cinematic Universe film "Black Panther: Wakanda Forever."
-
C.
Panay
Panay is a major island in the Western Visayas region of the Philippines, known for its rich history, agriculture, and proximity to the resort island of Boracay.
-
D.
Tayauh
Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
-
E.
Palaonda
Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f6683e881908920e1fee02a14e3 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa5f21c8190bcb32a078a2f7ebb |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c54e6b08190bdae0ec35cc1c48d |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d13237881908b7c2dca173e20cf |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.