Triple
T14951055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weimarer Land |
E372793
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Nohra
Nohra is a small municipality in the Weimarer Land district of the German state of Thuringia.
|
E1129105
|
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: Nohra | Statement: [Weimarer Land, containsMunicipality, Nohra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nohra Context triple: [Weimarer Land, containsMunicipality, Nohra]
-
A.
Nuzha
Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
-
B.
Nahila
Nahila is a character from the novel "Gate of the Sun," which portrays the Palestinian experience through interwoven personal and historical narratives.
-
C.
Teyuna
Teyuna is the indigenous name for Colombia’s ancient pre-Hispanic city commonly known as Ciudad Perdida, a major archaeological site of the Tayrona civilization in the Sierra Nevada de Santa Marta.
-
D.
Arzla
Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
-
E.
Adailiya
Adailiya is a residential district in Kuwait City known for its embassies, sports facilities, and central location within the capital.
- 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: Nohra Triple: [Weimarer Land, containsMunicipality, Nohra]
Generated description
Nohra is a small municipality in the Weimarer Land district of the German state of Thuringia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nohra Target entity description: Nohra is a small municipality in the Weimarer Land district of the German state of Thuringia.
-
A.
Nuzha
Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
-
B.
Nahila
Nahila is a character from the novel "Gate of the Sun," which portrays the Palestinian experience through interwoven personal and historical narratives.
-
C.
Teyuna
Teyuna is the indigenous name for Colombia’s ancient pre-Hispanic city commonly known as Ciudad Perdida, a major archaeological site of the Tayrona civilization in the Sierra Nevada de Santa Marta.
-
D.
Arzla
Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
-
E.
Adailiya
Adailiya is a residential district in Kuwait City known for its embassies, sports facilities, and central location within the capital.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded690f2e08190ad9dad6dc05a164a |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9a6098819087b6e81bebcf6805 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe83fdef58819098cda8cca0d810dd |
completed | May 9, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8518121c8190b6ffcc14ec5ac8ea |
completed | May 9, 2026, 12:51 a.m. |
Created at: April 10, 2026, 2:39 a.m.