Triple
T15496500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokoname |
E378830
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Handa |
E836254
|
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: Handa | Statement: [Tokoname, borders, Handa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Handa Context triple: [Tokoname, borders, Handa]
-
A.
Handa
chosen
Handa is a coastal industrial city in central Japan known for its brewing heritage and location on the Chita Peninsula in Aichi Prefecture.
-
B.
Mahandri
Mahandri is a small village located in Pakistan’s scenic Kaghan Valley, known for its lush landscapes and role as a stopover for tourists exploring the region.
-
C.
Manod
Manod is a small village in Gwynedd, Wales, situated near the former slate-mining town of Blaenau Ffestiniog in the historic county of Merionethshire.
-
D.
Landhi
Landhi is a major residential and industrial neighborhood in Karachi, Pakistan, known for its dense population and manufacturing zones.
-
E.
Lahndi
Lahndi is an Indo-Aryan language (or group of dialects) spoken primarily in western parts of Pakistan, often considered a dialect continuum between Punjabi and Sindhi.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faecd60819091eeaa56c9c8f67d |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3665769c8190be1af51a82a5e75f |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:52 a.m.