Triple
T9934069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xander |
E192711
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Xan |
E192711
|
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: Xan | Statement: [Xander, hasShortForm, Xan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xan Context triple: [Xander, hasShortForm, Xan]
-
A.
Xan
chosen
Xan is a short, informal diminutive of the given name Xander.
-
B.
Xanéu
Xanéu is an alternative name for the Terena language, an Arawakan language spoken by the Terena people of Brazil.
-
C.
Alixan
Alixan is a commune in southeastern France, near Valence in the Drôme department, known for hosting the Valence TGV high-speed rail station.
-
D.
Xylok
Xylok is a fictional alien species, likely characterized by non-human biology and culture, to which the character Mr Smith belongs.
-
E.
Arxan
Arxan is a county-level city in the Hinggan League of Inner Mongolia, China, known for its forested landscapes, volcanic landforms, and hot springs.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b89c808190a2e766025dd53bd5 |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228ddecfc8190850a098bf4074cc3 |
completed | April 5, 2026, 9:18 a.m. |
Created at: March 30, 2026, 8:44 p.m.