Triple
T19023879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tun |
E465556
|
entity |
| Predicate | style |
P87
|
FINISHED |
| Object | Tun |
—
|
NE NERFINISHED |
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: Tun | Statement: [Tun, style, Tun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tun Context triple: [Tun, style, Tun]
-
A.
Tun
chosen
Tun is the highest federal title of honor in Malaysia, bestowed by the Yang di-Pertuan Agong for extraordinary service to the nation.
-
B.
Tissi
Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
-
C.
Tawil
Tawil is an Arabic-origin surname commonly found among families from the Middle East and the broader Arab diaspora.
-
D.
Zaarour
Zaarour is a Lebanese mountain village and ski resort located on the slopes of Mount Sannine.
-
E.
Tarmuwa
Tarmuwa is a local government area in northeastern Nigeria known for its predominantly rural communities within Yobe State.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6e166088190937ef19739437f7c |
completed | April 20, 2026, 7:33 a.m. |
Created at: April 10, 2026, 12:02 p.m.