Triple
T3446477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nabonidus |
E72689
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Tayma |
E255451
|
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: Tayma | Statement: [Nabonidus, residence, Tayma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tayma Context triple: [Nabonidus, residence, Tayma]
-
A.
Tayma
chosen
Tayma is an ancient oasis town in northwestern Saudi Arabia known for its significant archaeological remains and long history as a caravan and trade center.
-
B.
Tamahaq
Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
-
C.
Moura
Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
-
D.
Tadlac
Tadlac is a barangay in the municipality of Los Baños in Laguna province, Philippines, known for its proximity to Tadlac Lake (also called Alligator Lake).
-
E.
Tribeni
Tribeni is a town in West Bengal, India, historically known as a sacred confluence point of rivers and an important riverside settlement.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba6efb188190b989fa4d6f28e16b |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360e32ba08190bcd2f3cbe963c443 |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.