Triple
T301643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Town of Ghadamès |
E6208
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Ghadamès
Ghadamès is an ancient oasis town in western Libya, renowned for its well-preserved Saharan architecture and UNESCO-listed historic old quarter.
|
E39478
|
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: Ghadamès | Statement: [Old Town of Ghadamès, locatedIn, Ghadamès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghadamès Context triple: [Old Town of Ghadamès, locatedIn, Ghadamès]
-
A.
Misrata
Misrata is a key coastal city in northwestern Libya, known as an important commercial and industrial hub and a strategic port on the Mediterranean Sea.
-
B.
Tadjoura
Tadjoura is a historic coastal town in Djibouti on the Gulf of Tadjoura, known as one of the country’s oldest settlements and a traditional trading hub.
-
C.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
-
D.
Fezzan
Fezzan is a sparsely populated desert region in southwestern Libya, historically significant as a trans-Saharan trade hub and home to several ancient oasis settlements.
-
E.
Gela Sule
Gela Sule is a variant name for Nggela Sule, a locality associated with the Nggela (Florida) Islands in the Solomon Islands.
- 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: Ghadamès Triple: [Old Town of Ghadamès, locatedIn, Ghadamès]
Generated description
Ghadamès is an ancient oasis town in western Libya, renowned for its well-preserved Saharan architecture and UNESCO-listed historic old quarter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ghadamès Target entity description: Ghadamès is an ancient oasis town in western Libya, renowned for its well-preserved Saharan architecture and UNESCO-listed historic old quarter.
-
A.
Misrata
Misrata is a key coastal city in northwestern Libya, known as an important commercial and industrial hub and a strategic port on the Mediterranean Sea.
-
B.
Tadjoura
Tadjoura is a historic coastal town in Djibouti on the Gulf of Tadjoura, known as one of the country’s oldest settlements and a traditional trading hub.
-
C.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
-
D.
Fezzan
Fezzan is a sparsely populated desert region in southwestern Libya, historically significant as a trans-Saharan trade hub and home to several ancient oasis settlements.
-
E.
Gela Sule
Gela Sule is a variant name for Nggela Sule, a locality associated with the Nggela (Florida) Islands in the Solomon Islands.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b47185f48190813159f932c0af9a |
completed | March 1, 2026, 3:37 a.m. |
| NEDg | Description generation | batch_69a3b4da227c8190bb172bb78484ce46 |
completed | March 1, 2026, 3:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3b52e995c819084fe2b4983f6cfcc |
completed | March 1, 2026, 3:40 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.