Triple
T16379853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xai-Xai Beach |
E397773
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Xai-Xai |
E79592
|
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: Xai-Xai | Statement: [Xai-Xai Beach, locatedIn, Xai-Xai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xai-Xai Context triple: [Xai-Xai Beach, locatedIn, Xai-Xai]
-
A.
Xai-Xai
chosen
Xai-Xai is a coastal city in southern Mozambique that serves as the capital of Gaza Province and a regional center for agriculture, fishing, and tourism.
-
B.
Xaipe
Xaipe is a late poetry collection by E. E. Cummings that showcases his characteristic experimental style and playful, lyrical exploration of language and form.
-
C.
Kaxabu
Kaxabu is an indigenous Formosan language of Taiwan traditionally spoken by the Kaxabu people.
-
D.
Makuxi
Makuxi is an indigenous people of northern Brazil and neighboring regions, known for their distinct language, culture, and traditional practices in the Amazonian savanna.
-
E.
Ayawa
Ayawa is an alternative name for the Yao people, an ethnic group found primarily in parts of East and Southern Africa.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319da3c6c8190a9ccf744996c31e8 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0035689ef08190ba980a359498ca56 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.