Triple
T11979174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf of Izmir |
E285111
|
entity |
| Predicate | nearbyIsland |
P2064
|
FINISHED |
| Object |
Uzunada
Uzunada is a Turkish island in the Aegean Sea, situated in the Gulf of İzmir and known for its strategic location and military use.
|
E958027
|
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: Uzunada | Statement: [Gulf of Izmir, nearbyIsland, Uzunada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uzunada Context triple: [Gulf of Izmir, nearbyIsland, Uzunada]
-
A.
Longu
Longu is an Austronesian language spoken in the Solomon Islands, known primarily as a local name for the Longgu language.
-
B.
Uzun Brakk
Uzun Brakk is a prominent granite rock tower in the Karakoram range of Pakistan, renowned among climbers for its steep, challenging walls and remote location.
-
C.
Uzal
Uzal is a masculine given name of Hebrew origin that appears in biblical genealogies and has been used by various historical figures.
-
D.
Lungro
Lungro is a town in southern Italy known as a principal center of the Italo-Albanian Catholic Church and its Arbëreshë (Albanian) cultural heritage.
-
E.
Uyugan
Uyugan is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, rolling hills, and rugged seascapes.
- 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: Uzunada Triple: [Gulf of Izmir, nearbyIsland, Uzunada]
Generated description
Uzunada is a Turkish island in the Aegean Sea, situated in the Gulf of İzmir and known for its strategic location and military use.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uzunada Target entity description: Uzunada is a Turkish island in the Aegean Sea, situated in the Gulf of İzmir and known for its strategic location and military use.
-
A.
Longu
Longu is an Austronesian language spoken in the Solomon Islands, known primarily as a local name for the Longgu language.
-
B.
Uzun Brakk
Uzun Brakk is a prominent granite rock tower in the Karakoram range of Pakistan, renowned among climbers for its steep, challenging walls and remote location.
-
C.
Uzal
Uzal is a masculine given name of Hebrew origin that appears in biblical genealogies and has been used by various historical figures.
-
D.
Lungro
Lungro is a town in southern Italy known as a principal center of the Italo-Albanian Catholic Church and its Arbëreshë (Albanian) cultural heritage.
-
E.
Uyugan
Uyugan is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, rolling hills, and rugged seascapes.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90393cfb08190b5b45d3e5e32fad3 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47209bd088190bf4c7687c0a5eed6 |
completed | May 1, 2026, 9:27 a.m. |
| NEDg | Description generation | batch_69f47b7ac4048190ae09f18f1a90338f |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47db91f38819092b7b5c5e2bb489b |
completed | May 1, 2026, 10:17 a.m. |
Created at: April 8, 2026, 9:46 p.m.