Triple
T8681317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pantura (north coast) road |
E206044
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Tegal |
E372519
|
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: Tegal | Statement: [Pantura (north coast) road, connectsCity, Tegal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tegal Context triple: [Pantura (north coast) road, connectsCity, Tegal]
-
A.
Tegal
chosen
Tegal is a coastal city in Central Java, Indonesia, known as a regional transport hub and trading center on the north coast railway line.
-
B.
Semarang
Semarang is a major coastal city on the north coast of Java in Indonesia, known historically as an important colonial trading hub and now as a significant commercial and industrial center.
-
C.
Pekalongan
Pekalongan is an Indonesian coastal city on the island of Java renowned as a major center of batik production and textile arts.
-
D.
Purwokerto
Purwokerto is a major town in Central Java, Indonesia, known as a regional economic and educational center and a gateway to nearby highland tourist destinations.
-
E.
Cirebon
Cirebon is a coastal city in West Java, Indonesia, known as a cultural crossroads blending Sundanese and Javanese influences and serving as a significant regional trading and urban center.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae6d19c8190be003f7901c0468d |
completed | March 31, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc91d31d48190bfd8a8254f6f518e |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:32 p.m.