Triple
T14872812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dakhla |
E349792
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Dajla
Dajla is an alternative name for Dakhla, a coastal city in Western Sahara known for its fishing industry and popular kitesurfing spots.
|
E1124280
|
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: Dajla | Statement: [Dakhla, hasAlternativeName, Dajla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dajla Context triple: [Dakhla, hasAlternativeName, Dajla]
-
A.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
B.
Fažana
Fažana is a coastal town in Croatia’s Istria region, known for its fishing heritage, tourism, and historical ties to the Istriot language.
-
C.
Ilidža
Ilidža is a municipality and popular spa suburb of Sarajevo in Bosnia and Herzegovina, known for its thermal springs, parks, and historical sites.
-
D.
Dušica
Dušica was a medieval Serbian princess, the daughter of King Stefan Uroš III Dečanski of Serbia.
-
E.
Dolianova
Dolianova is a small town in southern Sardinia, Italy, known for its wine production and historic Romanesque cathedral.
- 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: Dajla Triple: [Dakhla, hasAlternativeName, Dajla]
Generated description
Dajla is an alternative name for Dakhla, a coastal city in Western Sahara known for its fishing industry and popular kitesurfing spots.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dajla Target entity description: Dajla is an alternative name for Dakhla, a coastal city in Western Sahara known for its fishing industry and popular kitesurfing spots.
-
A.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
B.
Fažana
Fažana is a coastal town in Croatia’s Istria region, known for its fishing heritage, tourism, and historical ties to the Istriot language.
-
C.
Ilidža
Ilidža is a municipality and popular spa suburb of Sarajevo in Bosnia and Herzegovina, known for its thermal springs, parks, and historical sites.
-
D.
Dušica
Dušica was a medieval Serbian princess, the daughter of King Stefan Uroš III Dečanski of Serbia.
-
E.
Dolianova
Dolianova is a small town in southern Sardinia, Italy, known for its wine production and historic Romanesque cathedral.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e2c94c8190a16f05ea81701fc1 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe65129a588190bbad294b500f411f |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe66a5f3a88190827c6c9247323153 |
completed | May 8, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6736ff34819098524e4401a414aa |
completed | May 8, 2026, 10:44 p.m. |
Created at: April 10, 2026, 1:55 a.m.