Triple
T9669621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khalaj |
E233991
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Xalaj |
E233991
|
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: Xalaj | Statement: [Khalaj, hasAlternativeName, Xalaj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xalaj Context triple: [Khalaj, hasAlternativeName, Xalaj]
-
A.
Kachera
Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
-
B.
Yaxhá
Yaxhá is an ancient Maya archaeological site in northern Guatemala known for its large ceremonial complexes and scenic setting beside Lake Yaxhá.
-
C.
Kalsa
Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
-
D.
Khalaj
chosen
Khalaj is a distinct and archaic Turkic language spoken primarily in central Iran, notable for preserving many features lost in other Turkic languages.
-
E.
Chetlat
Chetlat is a small inhabited coral island in the Lakshadweep archipelago of India, known for its coconut cultivation, fishing, and surrounding lagoon.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3ec17081908c2da74a1d1f49da |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a247ca48190910624dfbf0b491d |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:15 p.m.