Triple
T3687352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trikala |
E78255
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object | Trikka |
E319916
|
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: Trikka | Statement: [Trikala, historicalName, Trikka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trikka Context triple: [Trikala, historicalName, Trikka]
-
A.
Trikka
chosen
Trikka (also known as Trikala) is an ancient city in Thessaly, Greece, traditionally regarded as the birthplace and principal cult center of the healing god Asclepius.
-
B.
Trife
Trife is a rapper best known as a member of the Brooklyn hip hop collective Junior M.A.F.I.A.
-
C.
Trique
Trique is an indigenous Mesoamerican language spoken in Oaxaca, Mexico, known for its complex tonal system and belonging to the Oto-Manguean language family.
-
D.
The Trick
The Trick is a British drama film in which George MacKay stars in a story inspired by the real-life "Climategate" email hacking scandal.
-
E.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c7e2bc81909356c8b0ed90feed |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3c10f6481908feed99cddc56d47 |
completed | March 14, 2026, 2:11 a.m. |
Created at: March 8, 2026, 3:26 p.m.