Triple
T3346284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valencia Airport |
E70381
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object |
Manises
Manises is a town in Spain’s Valencian Community, known for its historic ceramics industry and proximity to Valencia.
|
E350369
|
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: Manises | Statement: [Valencia Airport, nearbyTown, Manises]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manises Context triple: [Valencia Airport, nearbyTown, Manises]
-
A.
Mariveles
Mariveles is a coastal municipality at the southern tip of the Bataan Peninsula in the Philippines, known for its deep-water port, industrial zones, and role in World War II history.
-
B.
Masbateño
Masbateño is a Central Philippine Bisayan language spoken primarily on Masbate Island in the Philippines.
-
C.
Malpaso
Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
-
D.
Nueva Gerona
Nueva Gerona is the main urban center and administrative hub of Cuba’s Isla de la Juventud, known for its port, local commerce, and role in regional governance.
-
E.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
- 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: Manises Triple: [Valencia Airport, nearbyTown, Manises]
Generated description
Manises is a town in Spain’s Valencian Community, known for its historic ceramics industry and proximity to Valencia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manises Target entity description: Manises is a town in Spain’s Valencian Community, known for its historic ceramics industry and proximity to Valencia.
-
A.
Mariveles
Mariveles is a coastal municipality at the southern tip of the Bataan Peninsula in the Philippines, known for its deep-water port, industrial zones, and role in World War II history.
-
B.
Masbateño
Masbateño is a Central Philippine Bisayan language spoken primarily on Masbate Island in the Philippines.
-
C.
Malpaso
Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
-
D.
Nueva Gerona
Nueva Gerona is the main urban center and administrative hub of Cuba’s Isla de la Juventud, known for its port, local commerce, and role in regional governance.
-
E.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f4ff888190bf14b9b7fbe9bcee |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32522cbc88190b965087a580d7acf |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b325a0de7c8190a33ae611b8450b5a |
completed | March 12, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b326862e848190bf1bea74b6ab0b36 |
completed | March 12, 2026, 8:48 p.m. |
Created at: March 8, 2026, 3:12 p.m.