Triple
T17199214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noardeast-Fryslân |
E417432
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Anjum |
E1256617
|
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: Anjum | Statement: [Noardeast-Fryslân, containsSettlement, Anjum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anjum Context triple: [Noardeast-Fryslân, containsSettlement, Anjum]
-
A.
Anjum
Anjum is a central character in Arundhati Roy’s novel "The Ministry of Utmost Happiness," a transgender woman whose life story weaves together themes of identity, marginalization, and political turmoil in contemporary India.
-
B.
Anjum
chosen
Anjum is a small village in the Dutch province of Friesland, known for its rural character and historic charm.
-
C.
Jiwani
Jiwani is a coastal town in southwestern Pakistan near the Iranian border, strategically located along the Arabian Sea and known for its military and maritime significance.
-
D.
Gulbahar
Gulbahar is a residential neighborhood in Karachi, Pakistan, known for its dense urban setting and local commercial activity.
-
E.
Gulbahar
Gulbahar is a town in northeastern Afghanistan situated along the Panjshir River and known as a local commercial and agricultural center.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42daddcd08190a82f36c940bf3f7b |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01674bfabc8190bff7223e039089cc |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.