Triple
T2923945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albanian Riviera |
E78798
|
entity |
| Predicate | hasMajorSettlement |
P316
|
FINISHED |
| Object |
Himarë
Himarë is a coastal town in southern Albania known for its beaches, historic stone villages, and prominent role as a tourist hub on the Ionian Sea.
|
E309581
|
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: Himarë | Statement: [Albanian Riviera, hasMajorSettlement, Himarë]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Himarë Context triple: [Albanian Riviera, hasMajorSettlement, Himarë]
-
A.
Vurës
Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
-
B.
Morea
Morea was the medieval name for the Peloponnese peninsula in southern Greece, which served as a significant Byzantine province and later despotate.
-
C.
Preveza
Preveza is a coastal city in northwestern Greece known for its strategic location at the entrance of the Ambracian Gulf, its historic old town, and nearby beaches.
-
D.
Anjezë
Anjezë is the birth name of Mother Teresa, the Catholic nun and missionary renowned for her humanitarian work among the poor in Kolkata, India.
-
E.
Saranda
Saranda is a coastal city in southern Albania on the Ionian Sea, known for its strategic harbor and role in regional military and maritime history.
- 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: Himarë Triple: [Albanian Riviera, hasMajorSettlement, Himarë]
Generated description
Himarë is a coastal town in southern Albania known for its beaches, historic stone villages, and prominent role as a tourist hub on the Ionian Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Himarë Target entity description: Himarë is a coastal town in southern Albania known for its beaches, historic stone villages, and prominent role as a tourist hub on the Ionian Sea.
-
A.
Vurës
Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
-
B.
Morea
Morea was the medieval name for the Peloponnese peninsula in southern Greece, which served as a significant Byzantine province and later despotate.
-
C.
Preveza
Preveza is a coastal city in northwestern Greece known for its strategic location at the entrance of the Ambracian Gulf, its historic old town, and nearby beaches.
-
D.
Anjezë
Anjezë is the birth name of Mother Teresa, the Catholic nun and missionary renowned for her humanitarian work among the poor in Kolkata, India.
-
E.
Saranda
Saranda is a coastal city in southern Albania on the Ionian Sea, known for its strategic harbor and role in regional military and maritime history.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97bf2df88190bd4f1e90d4656507 |
completed | March 8, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b056375b5c819081c7d4fd506cbf25 |
completed | March 10, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69b05f640afc8190bf9b5b90ff7c9b0e |
completed | March 10, 2026, 6:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b06010c1948190a2e13084a79b106b |
completed | March 10, 2026, 6:16 p.m. |
Created at: March 8, 2026, 2:55 p.m.