Triple
T10895400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Se Cathedral |
E257295
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Goa |
E9427
|
NE FINISHED |
How this triple was built (2 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: Goa | Statement: [Se Cathedral, locatedIn, Goa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goa Context triple: [Se Cathedral, locatedIn, Goa]
-
A.
Goa
chosen
Goa is a coastal state on India’s western shore known for its beaches, distinctive blend of Indian and Portuguese heritage, and vibrant tourism industry.
-
B.
GOA
GOA, short for Guerrilla Open Access, is an activist movement advocating for the free and unrestricted sharing of scholarly and cultural information, often in defiance of traditional copyright and paywall systems.
-
C.
GOA
GOA is the IATA airport code for Genoa Cristoforo Colombo Airport, the main international airport serving the city of Genoa in Italy.
-
D.
Kerala
Kerala is a coastal state in southwestern India known for its backwaters, high literacy rate, distinctive Malayalam culture, and strong traditions in art, Ayurveda, and religious diversity.
-
E.
Gujarat
Gujarat is a western coastal state of India known for its significant role in trade and industry, rich cultural heritage, and historic cities such as Ahmedabad.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d022f4c81909cd9ea27a9f0cd32 |
completed | April 9, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23b5e37588190be7a7b571f5565c7 |
completed | April 17, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:21 p.m.