Triple
T18003111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabela Province |
E430675
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Cordon
Cordon is a municipality in the province of Isabela in the Philippines, known as a gateway to the Cagayan Valley region.
|
E1300303
|
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: Cordon | Statement: [Isabela Province, hasMunicipality, Cordon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cordon Context triple: [Isabela Province, hasMunicipality, Cordon]
-
A.
Cordon
Cordon is a picturesque alpine village in southeastern France known for its traditional Savoyard character and panoramic views of Mont Blanc.
-
B.
Kordon
Kordon is a famous seafront promenade and social hub in İzmir, Turkey, known for its scenic views, cafes, and lively atmosphere along the Aegean coast.
-
C.
Alsancak Kordon
Alsancak Kordon is a popular seafront promenade and social hub in İzmir’s Alsancak district, known for its scenic Aegean views, cafes, and vibrant nightlife.
-
D.
Bandhagen
Bandhagen is a residential district in southern Stockholm, Sweden, known for its post-war housing and proximity to the city’s metro network.
-
E.
Grenz
Grenz is a surname most notably associated with Stanley Grenz, a prominent late 20th-century evangelical theologian and author.
- 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: Cordon Triple: [Isabela Province, hasMunicipality, Cordon]
Generated description
Cordon is a municipality in the province of Isabela in the Philippines, known as a gateway to the Cagayan Valley region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cordon Target entity description: Cordon is a municipality in the province of Isabela in the Philippines, known as a gateway to the Cagayan Valley region.
-
A.
Cordon
Cordon is a picturesque alpine village in southeastern France known for its traditional Savoyard character and panoramic views of Mont Blanc.
-
B.
Kordon
Kordon is a famous seafront promenade and social hub in İzmir, Turkey, known for its scenic views, cafes, and lively atmosphere along the Aegean coast.
-
C.
Alsancak Kordon
Alsancak Kordon is a popular seafront promenade and social hub in İzmir’s Alsancak district, known for its scenic Aegean views, cafes, and vibrant nightlife.
-
D.
Bandhagen
Bandhagen is a residential district in southern Stockholm, Sweden, known for its post-war housing and proximity to the city’s metro network.
-
E.
Grenz
Grenz is a surname most notably associated with Stanley Grenz, a prominent late 20th-century evangelical theologian and author.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b3ea60608190b977644e946407b7 |
completed | April 19, 2026, 10:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0337b6b7e48190a649dda888450b2d |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a033ca755e08190aa5003164b49f196 |
completed | May 12, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a033d7a601c8190a4746adfdfffbca8 |
completed | May 12, 2026, 2:47 p.m. |
Created at: April 10, 2026, 10:23 a.m.