Triple
T6850123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wurundjeri people |
E157993
|
entity |
| Predicate | hasTotemicAncestor |
P55649
|
FINISHED |
| Object |
Waa
Waa is the ancestral crow totem revered in Wurundjeri culture within the broader Aboriginal Australian spiritual tradition.
|
E624190
|
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: Waa | Statement: [Wurundjeri people, hasTotemicAncestor, Waa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waa Context triple: [Wurundjeri people, hasTotemicAncestor, Waa]
-
A.
WAAA
WAAA is the ICAO airport code for Sultan Hasanuddin International Airport, the main air gateway to Makassar in South Sulawesi, Indonesia.
-
B.
Waic
Waic is a subgroup of related Austroasiatic languages spoken primarily by the Wa people in parts of China and Myanmar.
-
C.
Wala
The Wala are an ethnic group primarily inhabiting the Upper West Region of Ghana, known for their Islamic heritage, centralized chieftaincy system, and rich traditions in trade and craftsmanship.
-
D.
Wala
Wala is an Oceanic language variety spoken in Vanuatu, recognized as one of the dialects within the Uripiv-Wala-Rano-Atchin dialect chain.
-
E.
Na Wa Ta
Na Wa Ta is the Burmese-language acronym for Myanmar’s former military junta, the State Law and Order Restoration Council, which ruled the country after the 1988 coup.
- 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: Waa Triple: [Wurundjeri people, hasTotemicAncestor, Waa]
Generated description
Waa is the ancestral crow totem revered in Wurundjeri culture within the broader Aboriginal Australian spiritual tradition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waa Target entity description: Waa is the ancestral crow totem revered in Wurundjeri culture within the broader Aboriginal Australian spiritual tradition.
-
A.
WAAA
WAAA is the ICAO airport code for Sultan Hasanuddin International Airport, the main air gateway to Makassar in South Sulawesi, Indonesia.
-
B.
Waic
Waic is a subgroup of related Austroasiatic languages spoken primarily by the Wa people in parts of China and Myanmar.
-
C.
Wala
The Wala are an ethnic group primarily inhabiting the Upper West Region of Ghana, known for their Islamic heritage, centralized chieftaincy system, and rich traditions in trade and craftsmanship.
-
D.
Wala
Wala is an Oceanic language variety spoken in Vanuatu, recognized as one of the dialects within the Uripiv-Wala-Rano-Atchin dialect chain.
-
E.
Na Wa Ta
Na Wa Ta is the Burmese-language acronym for Myanmar’s former military junta, the State Law and Order Restoration Council, which ruled the country after the 1988 coup.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84c45708190918adfc028252400 |
completed | March 27, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fcdf3888190b95b2ce10964793b |
completed | March 28, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69c7364f945081909ea72e90931dbf24 |
completed | March 28, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c736fad2d08190b5c07d2c74f9e94c |
completed | March 28, 2026, 2:03 a.m. |
Created at: March 27, 2026, 2:20 p.m.