Triple
T4690991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lioz limestone |
E104032
|
entity |
| Predicate | primaryRegionOfOccurrence |
P55272
|
FINISHED |
| Object |
Mafra
Mafra is a Portuguese town best known for its monumental baroque National Palace and basilica, extensively built using local lioz limestone.
|
E462967
|
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: Mafra | Statement: [Lioz limestone, primaryRegionOfOccurrence, Mafra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mafra Context triple: [Lioz limestone, primaryRegionOfOccurrence, Mafra]
-
A.
Nova Sintra
Nova Sintra is the main town and administrative center of the island of Brava in Cape Verde, known for its colonial architecture and mountainous setting.
-
B.
Sintra
Sintra is a historic Portuguese town near Lisbon, renowned for its romantic 19th-century palaces, castles, and lush hillside landscapes.
-
C.
Vila Real
Vila Real is a historic city in northern Portugal known for its scenic Douro Valley surroundings and notable Baroque architecture.
-
D.
Vila de Rei
Vila de Rei is a small inland municipality in central Portugal known for its rural landscapes and its location near the country’s geodesic center.
-
E.
Sabrosa
Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
- 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: Mafra Triple: [Lioz limestone, primaryRegionOfOccurrence, Mafra]
Generated description
Mafra is a Portuguese town best known for its monumental baroque National Palace and basilica, extensively built using local lioz limestone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mafra Target entity description: Mafra is a Portuguese town best known for its monumental baroque National Palace and basilica, extensively built using local lioz limestone.
-
A.
Nova Sintra
Nova Sintra is the main town and administrative center of the island of Brava in Cape Verde, known for its colonial architecture and mountainous setting.
-
B.
Sintra
Sintra is a historic Portuguese town near Lisbon, renowned for its romantic 19th-century palaces, castles, and lush hillside landscapes.
-
C.
Vila Real
Vila Real is a historic city in northern Portugal known for its scenic Douro Valley surroundings and notable Baroque architecture.
-
D.
Vila de Rei
Vila de Rei is a small inland municipality in central Portugal known for its rural landscapes and its location near the country’s geodesic center.
-
E.
Sabrosa
Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6c3d1cb88190a42919dcbfe2568c |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03ba56f88190bc9f6da051b5052f |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be077d06988190b3b20b48e4017abb |
completed | March 21, 2026, 2:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be084a59e88190b1e0342a529b7b8f |
completed | March 21, 2026, 2:54 a.m. |
Created at: March 20, 2026, 1:16 p.m.