Triple
T11554917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Alicante |
E273993
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Calpe
Calpe is a coastal town on Spain’s Costa Blanca, known for its beaches and the iconic Peñón de Ifach rock formation.
|
E947074
|
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: Calpe | Statement: [Province of Alicante, contains, Calpe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calpe Context triple: [Province of Alicante, contains, Calpe]
-
A.
Javea
Javea is a coastal town on Spain’s Costa Blanca known for its Mediterranean beaches, historic old town, and popular holiday tourism.
-
B.
Altea
Altea is a picturesque coastal town on Spain’s Costa Blanca, known for its whitewashed old quarter, blue-domed church, and vibrant arts scene.
-
C.
Denia
Denia is a coastal city on Spain’s Costa Blanca known for its historic castle, Mediterranean beaches, and vibrant port.
-
D.
Blanes
Blanes is a coastal town in Catalonia, Spain, known as the southern gateway to the Costa Brava and popular for its beaches, botanical gardens, and summer tourism.
-
E.
Aljezur
Aljezur is a historic coastal town and municipality in southwestern Portugal known for its medieval castle, whitewashed houses, and unspoiled beaches within the Algarve region.
- 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: Calpe Triple: [Province of Alicante, contains, Calpe]
Generated description
Calpe is a coastal town on Spain’s Costa Blanca, known for its beaches and the iconic Peñón de Ifach rock formation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calpe Target entity description: Calpe is a coastal town on Spain’s Costa Blanca, known for its beaches and the iconic Peñón de Ifach rock formation.
-
A.
Javea
Javea is a coastal town on Spain’s Costa Blanca known for its Mediterranean beaches, historic old town, and popular holiday tourism.
-
B.
Altea
Altea is a picturesque coastal town on Spain’s Costa Blanca, known for its whitewashed old quarter, blue-domed church, and vibrant arts scene.
-
C.
Denia
Denia is a coastal city on Spain’s Costa Blanca known for its historic castle, Mediterranean beaches, and vibrant port.
-
D.
Blanes
Blanes is a coastal town in Catalonia, Spain, known as the southern gateway to the Costa Brava and popular for its beaches, botanical gardens, and summer tourism.
-
E.
Aljezur
Aljezur is a historic coastal town and municipality in southwestern Portugal known for its medieval castle, whitewashed houses, and unspoiled beaches within the Algarve region.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a86be308190973fea5d7db8ba9d |
completed | April 10, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f12fefffa88190b4aa484b6bc4eb17 |
completed | April 28, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69f141b1c50c819081a8055d951a49de |
completed | April 28, 2026, 11:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f14fcb63208190ad1185ad66314fa9 |
completed | April 29, 2026, 12:24 a.m. |
Created at: April 8, 2026, 9:37 p.m.