Triple
T5439771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Human Chain |
E122101
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | District and Circle |
E122100
|
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: District and Circle | Statement: [Human Chain, follows, District and Circle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: District and Circle Context triple: [Human Chain, follows, District and Circle]
-
A.
District and Circle
chosen
District and Circle is a 2006 poetry collection by Nobel laureate Seamus Heaney that reflects on memory, mortality, and contemporary life through richly crafted, lyrical verse.
-
B.
Co Do District
Co Do District is a rural administrative district of Cần Thơ city in Vietnam’s Mekong Delta region.
-
C.
Hub District
Hub District is an administrative district in Pakistan’s Balochistan province, located adjacent to the western edge of Karachi.
-
D.
Outer Circle
Outer Circle is a major orbital road encircling much of Regent's Park in central London, known for providing access to the park’s key landmarks and surrounding areas.
-
E.
Outer Circle
Outer Circle is the outermost ring road of Connaught Place in New Delhi, known for its commercial complexes, offices, and shops arranged in a circular layout.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91bfdc5481908c0894efcd2bff8e |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf487fdfe08190af6294021d1b81e5 |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:07 p.m.