Triple
T5635795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toqabaqita |
E147944
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Toʼabaʼita |
E147944
|
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: Toʼabaʼita | Statement: [Toqabaqita, hasAlternativeName, Toʼabaʼita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toʼabaʼita Context triple: [Toqabaqita, hasAlternativeName, Toʼabaʼita]
-
A.
Toqabaqita
chosen
Toqabaqita is an Oceanic language spoken in the Solomon Islands, particularly on Malaita Island.
-
B.
Toinette
Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
-
C.
Sitaantaagu
Sitaantaagu is the Tlingit name for the Mendenhall Glacier near Juneau, Alaska, a prominent valley glacier and major natural landmark.
-
D.
Itonama
Itonama is an indigenous language of the Bolivian Amazon, traditionally spoken by the Itonama people in the Beni region.
-
E.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0226286208190b6ccf036cc09fe82 |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d6d2dfc8190a2eabb8beda04ee5 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:41 p.m.