Triple
T15442585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udham Singh |
E369941
|
entity |
| Predicate | birthplace |
P1
|
FINISHED |
| Object | Sunam |
E369941
|
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: Sunam | Statement: [Udham Singh, birthplace, Sunam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunam Context triple: [Udham Singh, birthplace, Sunam]
-
A.
Sunam
chosen
Sunam is a town in the Sangrur district of Punjab, India, known as the birthplace of Indian revolutionary Udham Singh.
-
B.
Balaesang
Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
-
C.
Soraga
Soraga is a small alpine village and tourist resort in northern Italy’s Trentino region, nestled in the Dolomite mountains of the Fassa Valley.
-
D.
Kamchiya
Kamchiya is a popular Black Sea coastal resort area in northeastern Bulgaria, known for its wide sandy beaches and proximity to the scenic Kamchiya River and nature reserve.
-
E.
Soreang
Soreang is a suburban district and the administrative center of Bandung Regency in West Java, Indonesia, situated within the greater Bandung metropolitan area.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef55f5c8190a32b1b6ad1daf454 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cf7ce7c8190810ef35b6e37254d |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:21 a.m.