Triple
T15659943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nisa |
E376541
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Old Nisa |
E1011055
|
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: Old Nisa | Statement: [Nisa, alsoKnownAs, Old Nisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Nisa Context triple: [Nisa, alsoKnownAs, Old Nisa]
-
A.
Old Nisa
chosen
Old Nisa is an ancient archaeological site near Ashgabat in Turkmenistan, known as one of the earliest capitals of the Parthian Empire and a UNESCO World Heritage Site.
-
B.
Calah
Calah is an ancient Assyrian city, better known today as Nimrud, which served as a major political and cultural center of the Neo-Assyrian Empire in northern Mesopotamia.
-
C.
Allakaket
Allakaket is a small, predominantly Alaska Native village in the interior of Alaska, located above the Arctic Circle and accessible mainly by air and river.
-
D.
Mayapuri
Mayapuri is an industrial and commercial locality in West Delhi, India, known for its metal recycling markets and automobile workshops.
-
E.
Archaeopolis
Archaeopolis was an ancient fortified city that served as the principal political and military center of the kingdom of Lazica in western Georgia.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef4e6a08190ad8bbafaa3612f22 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff679e0f2c8190bbcb7051c38e1580 |
completed | May 9, 2026, 4:58 p.m. |
Created at: April 10, 2026, 4:15 a.m.