Triple
T11135436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fars Province |
E263396
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Mohr
Mohr is a small city in southern Iran known for its location within Fars Province and its hot, arid climate.
|
E907998
|
NE FINISHED |
How this triple was built (4 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: Mohr | Statement: [Fars Province, containsCity, Mohr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohr Context triple: [Fars Province, containsCity, Mohr]
-
A.
Mohrungen
Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
-
B.
Morgenstern
Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
-
C.
Mommsen
Mommsen is a German surname most famously associated with Theodor Mommsen, the Nobel Prize–winning historian and scholar of ancient Rome.
-
D.
Mömbris
Mömbris is a small market town in the Aschaffenburg district of Bavaria, Germany, known for its rural character and location in the Kahlgrund region.
-
E.
Möhra
Möhra is a small village in Thuringia, Germany, best known as the ancestral home of Martin Luther’s family.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mohr Triple: [Fars Province, containsCity, Mohr]
Generated description
Mohr is a small city in southern Iran known for its location within Fars Province and its hot, arid climate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mohr Target entity description: Mohr is a small city in southern Iran known for its location within Fars Province and its hot, arid climate.
-
A.
Mohrungen
Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
-
B.
Morgenstern
Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
-
C.
Mommsen
Mommsen is a German surname most famously associated with Theodor Mommsen, the Nobel Prize–winning historian and scholar of ancient Rome.
-
D.
Mömbris
Mömbris is a small market town in the Aschaffenburg district of Bavaria, Germany, known for its rural character and location in the Kahlgrund region.
-
E.
Möhra
Möhra is a small village in Thuringia, Germany, best known as the ancestral home of Martin Luther’s family.
- F. None of above. chosen
Provenance (5 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85daddc8190a1ae2a4a75cc8d50 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441fa286881909a8279a8ea6944e7 |
completed | April 19, 2026, 2:46 a.m. |
| NEDg | Description generation | batch_69e44c09163481909d6a469b1e50b6ff |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4519f4d408190be9863c72006ecad |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 8, 2026, 9:28 p.m.