Triple
T5466894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gandhinagar district |
E122732
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Adalaj |
E387755
|
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: Adalaj | Statement: [Gandhinagar district, contains, Adalaj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adalaj Context triple: [Gandhinagar district, contains, Adalaj]
-
A.
Adalaj
chosen
Adalaj is a village near Ahmedabad in Gujarat, India, best known for its intricately carved 15th-century stepwell that is a significant example of Indo-Islamic architecture.
-
B.
Alamata
Alamata is a town in northern Ethiopia that serves as a local commercial and administrative center in the southern part of the Tigray Region.
-
C.
Ḍogrī
Ḍogrī is the native name of the Dogri language, an Indo-Aryan language spoken primarily in the Jammu region of India.
-
D.
Abdiyya
Abdiyya is a female given name of Arabic origin, used in contexts such as royal and historical figures in the Arab world.
-
E.
Musa Qala
Musa Qala is a town and district center in southern Afghanistan that has been a focal point of conflict and military operations, particularly during the Afghan War.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9217009c819082631a2758b5f2a4 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf488da1d8819091e1cad0500b1747 |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:08 p.m.