Triple
T22119832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sobral de Monte Agraço |
E546635
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Forte do Zambujal |
—
|
NE NERFINISHED |
How this triple was built (3 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: Forte do Zambujal | Statement: [Sobral de Monte Agraço, contains, Forte do Zambujal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forte do Zambujal Context triple: [Sobral de Monte Agraço, contains, Forte do Zambujal]
-
A.
Forte de São José
Forte de São José is a historic defensive fortification that forms part of the renowned fortified ensemble of Elvas in Portugal, recognized for its significant military architecture and role in regional defense.
-
B.
Forte de Santa Luzia
Forte de Santa Luzia is a 17th-century star-shaped fort in Elvas, Portugal, built as part of the town’s extensive defensive system and now recognized within a UNESCO World Heritage site.
-
C.
Forte da Ponta da Bandeira
Forte da Ponta da Bandeira is a 17th-century coastal fort in Lagos, Portugal, built to defend the harbor and now serving as a historic monument and viewpoint over the bay.
-
D.
Forte de São Julião
Forte de São Julião is a historic coastal fortification in Portugal that formed part of the defensive Lines of Torres Vedras during the Peninsular War.
-
E.
Forte de São Mateus
Forte de São Mateus is a historic coastal fort in Cabo Frio, Brazil, known for its colonial-era architecture and scenic ocean views.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Forte do Zambujal Target entity description: Forte do Zambujal is a historic hilltop fortification in central Portugal that formed part of the defensive Lines of Torres Vedras built during the Peninsular War.
-
A.
Forte de São José
Forte de São José is a historic defensive fortification that forms part of the renowned fortified ensemble of Elvas in Portugal, recognized for its significant military architecture and role in regional defense.
-
B.
Forte de Santa Luzia
Forte de Santa Luzia is a 17th-century star-shaped fort in Elvas, Portugal, built as part of the town’s extensive defensive system and now recognized within a UNESCO World Heritage site.
-
C.
Forte da Ponta da Bandeira
Forte da Ponta da Bandeira is a 17th-century coastal fort in Lagos, Portugal, built to defend the harbor and now serving as a historic monument and viewpoint over the bay.
-
D.
Forte de São Julião
Forte de São Julião is a historic coastal fortification in Portugal that formed part of the defensive Lines of Torres Vedras during the Peninsular War.
-
E.
Forte de São Mateus
Forte de São Mateus is a historic coastal fort in Cabo Frio, Brazil, known for its colonial-era architecture and scenic ocean views.
- F. None of above. chosen
Provenance (2 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12950f5348190b204fbc347fd5dab |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:31 p.m.