Triple
T18525058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITB |
E452695
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | ITB |
—
|
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: ITB | Statement: [ITB, shortName, ITB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ITB Context triple: [ITB, shortName, ITB]
-
A.
ITB
chosen
ITB is a leading Indonesian public university in Bandung renowned for its strong programs in science, engineering, and technology.
-
B.
ITIB
ITIB is the abbreviated name for the Innovation, Technology and Industry Bureau, a government body focused on advancing innovation, technology development, and industrial growth.
-
C.
Trapezus
Trapezus was an ancient Greek city on the southern coast of the Black Sea, known as a key port and later as the nucleus of the medieval Empire of Trebizond.
-
D.
FTCC
FTCC is a public community college in Fayetteville, North Carolina, offering a wide range of technical, vocational, and academic programs.
-
E.
Schlatter
Schlatter is a German-language surname borne by various notable individuals across fields such as entertainment, sports, and academia.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533914e808190a46638de1ce2d57b |
completed | April 19, 2026, 7:57 p.m. |
Created at: April 10, 2026, 11:37 a.m.