Triple
T14872872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smara |
E349793
|
entity |
| Predicate | hasRoadConnectionTo |
P11435
|
FINISHED |
| Object |
Boujdour
Boujdour is a coastal town and fishing port in Western Sahara, known for its lighthouse and location along the Atlantic Ocean.
|
E1136617
|
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: Boujdour | Statement: [Smara, hasRoadConnectionTo, Boujdour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boujdour Context triple: [Smara, hasRoadConnectionTo, Boujdour]
-
A.
Souk El Berka
Souk El Berka is a historic covered market in the medina of Tunis, traditionally known for its jewelry trade and distinctive architectural character.
-
B.
Jendouba
Jendouba is a city in northwestern Tunisia known as an important regional center for agriculture and trade.
-
C.
Berrechid
Berrechid is a rapidly growing city in northwestern Morocco known as an important agricultural and industrial hub within the Casablanca-Settat region.
-
D.
Bou Ismaïl
Bou Ismaïl is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the capital, Algiers.
-
E.
El Kef
El Kef is a historic city in northwestern Tunisia known for its hilltop medina, Ottoman-era fortifications, and views over the surrounding mountains.
- 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: Boujdour Triple: [Smara, hasRoadConnectionTo, Boujdour]
Generated description
Boujdour is a coastal town and fishing port in Western Sahara, known for its lighthouse and location along the Atlantic Ocean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boujdour Target entity description: Boujdour is a coastal town and fishing port in Western Sahara, known for its lighthouse and location along the Atlantic Ocean.
-
A.
Souk El Berka
Souk El Berka is a historic covered market in the medina of Tunis, traditionally known for its jewelry trade and distinctive architectural character.
-
B.
Jendouba
Jendouba is a city in northwestern Tunisia known as an important regional center for agriculture and trade.
-
C.
Berrechid
Berrechid is a rapidly growing city in northwestern Morocco known as an important agricultural and industrial hub within the Casablanca-Settat region.
-
D.
Bou Ismaïl
Bou Ismaïl is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the capital, Algiers.
-
E.
El Kef
El Kef is a historic city in northwestern Tunisia known for its hilltop medina, Ottoman-era fortifications, and views over the surrounding mountains.
- 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_69feae005644819098937cedb53202c5 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feaed6acc881909a70376ea3805935 |
completed | May 9, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb014d9108190b7417f0b3c1838f5 |
completed | May 9, 2026, 3:55 a.m. |
Created at: April 10, 2026, 1:55 a.m.