Triple
T5232533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawi script |
E118143
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Pegon script |
E39178
|
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: Pegon script | Statement: [Jawi script, closelyRelatedTo, Pegon script]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pegon script Context triple: [Jawi script, closelyRelatedTo, Pegon script]
-
A.
Pegon script
chosen
Pegon script is an adapted form of the Arabic script traditionally used by Javanese and Sundanese Muslims to write their local languages, especially for religious and literary texts.
-
B.
PEG
PEG is the IATA airport code for Perugia San Francesco d’Assisi – Umbria International Airport in central Italy.
-
C.
PEG
PEG is the stock ticker symbol for Public Service Enterprise Group, a major U.S. energy company primarily involved in regulated electric and gas utility operations and power generation.
-
D.
Rencong script
The Rencong script is an ancient Brahmic-derived writing system historically used in parts of Sumatra, Indonesia, particularly for Malay and related regional languages.
-
E.
Peg
Peg is a common diminutive or nickname for the female given name Margaret.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0389048190b55b7c44fe657044 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef8154940819098ed76e14804f4b3 |
completed | March 21, 2026, 7:57 p.m. |
Created at: March 20, 2026, 1:49 p.m.