Triple
T17421698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Rayhan al-Biruni |
E423631
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Kath |
—
|
NE NERFINISHED |
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: Kath | Statement: [Abu Rayhan al-Biruni, birthPlace, Kath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kath Context triple: [Abu Rayhan al-Biruni, birthPlace, Kath]
-
A.
Kath
chosen
Kath is an ancient city in the Khwarazm region of Central Asia, historically significant as a cultural and scholarly center of the Islamic Golden Age.
-
B.
Kathi
Kathi is a common German diminutive form of the female given name Katharina.
-
C.
Kat
Kat is a given name, typically used as a shortened or informal form of Kathleen or Katherine.
-
D.
Kathy
Kathy is the given name of Kathy Hochul, the 57th governor of New York and the first woman to hold that office.
-
E.
Kathy
Kathy is a feminine given name commonly used in English-speaking countries, often as a diminutive of Katherine or Kathleen.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44237f2cc819083ca0e7e00d828fb |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:46 a.m.