Triple
T961739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central India |
E20748
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Morena |
E102805
|
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: Morena | Statement: [Central India, containsCity, Morena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morena Context triple: [Central India, containsCity, Morena]
-
A.
Morena
chosen
Morena is a city in the northern part of the Indian state of Madhya Pradesh, known as an administrative and commercial center in the Chambal region.
-
B.
Clementina
Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
-
C.
Minervina
Minervina was the first wife or consort of the Roman emperor Constantine the Great, known primarily as the mother of his son Crispus.
-
D.
Rosaura
Rosaura is a central character in Laura Esquivel’s novel "Like Water for Chocolate," known as Tita’s sister and romantic rival within the story’s intense family and culinary drama.
-
E.
Alejandro
Alejandro is the Spanish form of the given name Alexander, commonly used in Spanish-speaking countries.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b415ac688190bbcef455935a3116 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac11a3f8c481908f9ed37c44788cb7 |
completed | March 7, 2026, 11:53 a.m. |
Created at: March 1, 2026, 7:40 p.m.